2020 |
Yang, Seungho; Ahmad, Afnan; Park, Peter Y; Sohn, Gunho; Krygsman, Jeremy Public Transit Service Reliability Assessment using Two-Fluid Model Journal Article Transportation Research Record, 2674 (4), pp. 89-100, 2020. Abstract | Links | BibTeX | Tags: @article{doi:10.1177/0361198119896783, title = {Public Transit Service Reliability Assessment using Two-Fluid Model}, author = {Seungho Yang and Afnan Ahmad and Peter Y Park and Gunho Sohn and Jeremy Krygsman}, url = {https://doi.org/10.1177/0361198119896783}, doi = {10.1177/0361198119896783}, year = {2020}, date = {2020-01-01}, journal = {Transportation Research Record}, volume = {2674}, number = {4}, pages = {89-100}, abstract = {This study introduces a traffic flow theory-based reliability indicator to evaluate the inter-city public transit service. The two-fluid theory parameter n that measures the road networks’ resilience to changing traffic is used as a new reliability indicator of public bus service. We compared the performance of the new indicator with the three existing reliability indicators, including on-time performance, with a total of 52 different GO Bus routes to ascertain the usability of the new indicator. The GO Bus service is an inter-city bus service operated by Metrolinx in the Greater Toronto and Hamilton areas in Ontario, Canada. We used 1 month of GO Bus GPS data collected in July 2017 to estimate various public transit reliability indictors. We also investigated the relationship between reliability indicators and selected roadway network characteristics, such as route length, freeway ratio, intersection density along a route, and so forth. The study applied a series of statistical analyses, including principal component analysis, correlation analysis, and z-test using Fisher’s z transformation. The results showed that the proposed two-fluid indicator n can be used as a supplementary reliability indicator for assessing road networks’ resilience in regards to changing traffic flow conditions. The new indicator provided additional insights for inter-city bus service operators for initiating communication with roadway governing agencies for the purpose of improving road networks to further improve public transit service reliability.}, keywords = {}, pubstate = {published}, tppubtype = {article} } This study introduces a traffic flow theory-based reliability indicator to evaluate the inter-city public transit service. The two-fluid theory parameter n that measures the road networks’ resilience to changing traffic is used as a new reliability indicator of public bus service. We compared the performance of the new indicator with the three existing reliability indicators, including on-time performance, with a total of 52 different GO Bus routes to ascertain the usability of the new indicator. The GO Bus service is an inter-city bus service operated by Metrolinx in the Greater Toronto and Hamilton areas in Ontario, Canada. We used 1 month of GO Bus GPS data collected in July 2017 to estimate various public transit reliability indictors. We also investigated the relationship between reliability indicators and selected roadway network characteristics, such as route length, freeway ratio, intersection density along a route, and so forth. The study applied a series of statistical analyses, including principal component analysis, correlation analysis, and z-test using Fisher’s z transformation. The results showed that the proposed two-fluid indicator n can be used as a supplementary reliability indicator for assessing road networks’ resilience in regards to changing traffic flow conditions. The new indicator provided additional insights for inter-city bus service operators for initiating communication with roadway governing agencies for the purpose of improving road networks to further improve public transit service reliability. |
Park, Kunwoo; Kang, Jungwon; Arjmandi, Zahra; Shahbazi, Mozhdeh; Sohn, Gunho Multilateration Under Flip Ambiguity for UAV Positioning Using Ultrawide-band Conference V-1-2020 , 2020. Links | BibTeX | Tags: Flip Ambiguity, Multilateration, Positioning, Ultrawide-band, Unmanned Aerial Vehicle @conference{article_51, title = {Multilateration Under Flip Ambiguity for UAV Positioning Using Ultrawide-band}, author = {Kunwoo Park and Jungwon Kang and Zahra Arjmandi and Mozhdeh Shahbazi and Gunho Sohn}, doi = {10.5194/isprs-annals-V-1-2020-317-2020}, year = {2020}, date = {2020-01-01}, journal = {ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {V-1-2020}, pages = {317-323}, keywords = {Flip Ambiguity, Multilateration, Positioning, Ultrawide-band, Unmanned Aerial Vehicle}, pubstate = {published}, tppubtype = {conference} } |
Zhao, Kang; Kamran, Muhammad; Sohn, Gunho Boundary Regularized Building Footprint Extraction From Satellite Images Using Deep Neural Networks Conference V-2-2020 , 2020. Links | BibTeX | Tags: GCN, Geometric Learning, Instance Segmentation, Neural Networks, Satellite Imagery, Shape Regularization @conference{article_52, title = {Boundary Regularized Building Footprint Extraction From Satellite Images Using Deep Neural Networks}, author = {Kang Zhao and Muhammad Kamran and Gunho Sohn}, doi = {10.5194/isprs-annals-V-2-2020-617-2020}, year = {2020}, date = {2020-01-01}, journal = {ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {V-2-2020}, pages = {617-624}, keywords = {GCN, Geometric Learning, Instance Segmentation, Neural Networks, Satellite Imagery, Shape Regularization}, pubstate = {published}, tppubtype = {conference} } |
Ahmad, Afnan; Claudio, Pio; Naeini, A; Sohn, Gunho Wi-Fi RSS Fingerprinting for Indoor Localization Using Augmented Reality Conference V-4-2020 , 2020. Links | BibTeX | Tags: Augmented Reality, Fingerprinting, HoloLens, Indoor Localization, RSS @conference{article_53, title = {Wi-Fi RSS Fingerprinting for Indoor Localization Using Augmented Reality}, author = {Afnan Ahmad and Pio Claudio and A Naeini and Gunho Sohn}, doi = {10.5194/isprs-annals-V-4-2020-57-2020}, year = {2020}, date = {2020-01-01}, journal = {ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {V-4-2020}, pages = {57-64}, keywords = {Augmented Reality, Fingerprinting, HoloLens, Indoor Localization, RSS}, pubstate = {published}, tppubtype = {conference} } |
Jahromi, Ali Baligh; Sohn, Gunho; Jung, Jaewook; Park, K; Recchia, D Participatory Image-based Models’ Alignment for Reconstructing a Large-scale Indoor Mapping Conference V-4-2020 , 2020. Links | BibTeX | Tags: 3D Model Reconstruction, Crowd Source Modeling, Model Alignment, Model Transformation, Topology Graph @conference{article_54, title = {Participatory Image-based Models’ Alignment for Reconstructing a Large-scale Indoor Mapping}, author = {Ali Baligh Jahromi and Gunho Sohn and Jaewook Jung and K Park and D Recchia}, doi = {10.5194/isprs-annals-V-4-2020-71-2020}, year = {2020}, date = {2020-01-01}, journal = {ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {V-4-2020}, pages = {71-78}, keywords = {3D Model Reconstruction, Crowd Source Modeling, Model Alignment, Model Transformation, Topology Graph}, pubstate = {published}, tppubtype = {conference} } |
Jameela, Maryam; Chen, Leihan; Sit, A; Yoo, J; Verheggen, C; Sohn, Gunho Simulation-based Data Augmentation Using Physical Priors for Noise Filtering Deep Neural Network Conference XLIII-B2-2020 , 2020. Links | BibTeX | Tags: 3D Representation, Airborne LiDAR, Data Augmentation, Mobile Mapping System, Noise Filtering, Remote Sensing, Systematic Noise @conference{article_55, title = {Simulation-based Data Augmentation Using Physical Priors for Noise Filtering Deep Neural Network}, author = {Maryam Jameela and Leihan Chen and A Sit and J Yoo and C Verheggen and Gunho Sohn}, doi = {10.5194/isprs-archives-XLIII-B2-2020-247-2020}, year = {2020}, date = {2020-01-01}, journal = {ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {XLIII-B2-2020}, pages = {247-254}, keywords = {3D Representation, Airborne LiDAR, Data Augmentation, Mobile Mapping System, Noise Filtering, Remote Sensing, Systematic Noise}, pubstate = {published}, tppubtype = {conference} } |
Usmani, Aman U; Jadidi, Mojgan A; Sohn, Gunho Automatic Ontology Generation of BIM and GIS Data Conference XLIII-B4-2020 , 2020. Links | BibTeX | Tags: BIM, FCA, GIS, Ontology, OWL, Semantic Web, Transformation Patterns, XSD @conference{article_56, title = {Automatic Ontology Generation of BIM and GIS Data}, author = {Aman U Usmani and Mojgan A. Jadidi and Gunho Sohn}, doi = {10.5194/isprs-archives-XLIII-B4-2020-77-2020}, year = {2020}, date = {2020-01-01}, journal = {ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {XLIII-B4-2020}, pages = {77-80}, keywords = {BIM, FCA, GIS, Ontology, OWL, Semantic Web, Transformation Patterns, XSD}, pubstate = {published}, tppubtype = {conference} } |
Naeini, A; Ahmad, Afnan; Sheikholeslami, Mohammad Moein; Claudio, Pio; Sohn, Gunho An Unsupervised Registration of 3D Point Clouds to 2D CAD Model: a Case Study of Floor Plan Conference V-2-2020 , 2020. Links | BibTeX | Tags: 2D CAD models, 3D point clouds, affine transformation, floor plan, unsupervised registration @conference{article_57, title = {An Unsupervised Registration of 3D Point Clouds to 2D CAD Model: a Case Study of Floor Plan}, author = {A Naeini and Afnan Ahmad and Mohammad Moein Sheikholeslami and Pio Claudio and Gunho Sohn}, doi = {10.5194/isprs-annals-V-2-2020-9-2020}, year = {2020}, date = {2020-01-01}, journal = {ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {V-2-2020}, pages = {9-13}, keywords = {2D CAD models, 3D point clouds, affine transformation, floor plan, unsupervised registration}, pubstate = {published}, tppubtype = {conference} } |
2019 |
Yang, Seungho; Ahmad, Afnan; Park, Peter Y; Sohn, Gunho Public transit service reliability assessment using GPS data Conference 2019. BibTeX | Tags: public transit, reliability @conference{Yang2019, title = {Public transit service reliability assessment using GPS data}, author = {Seungho Yang and Afnan Ahmad and Peter Y Park and Gunho Sohn}, editor = {54th Annual Canadian Transportation Research Forum}, year = {2019}, date = {2019-05-26}, keywords = {public transit, reliability}, pubstate = {published}, tppubtype = {conference} } |
Shahbazi, Mozhdeh; Ménard, Patrick; Sohn, Gunho; Théau, Jérôme Unmanned aerial image dataset: Ready for 3D reconstruction Journal Article Data in Brief, 25 , pp. 103962, 2019, ISSN: 2352-3409. Links | BibTeX | Tags: Bundle adjustment, Dense matching, Stereo, Structure from motion, Unmanned Aerial Vehicle @article{SHAHBAZI2019103962, title = {Unmanned aerial image dataset: Ready for 3D reconstruction}, author = {Mozhdeh Shahbazi and Patrick Ménard and Gunho Sohn and Jérôme Théau}, url = {http://www.sciencedirect.com/science/article/pii/S2352340919303154}, doi = {https://doi.org/10.1016/j.dib.2019.103962}, issn = {2352-3409}, year = {2019}, date = {2019-01-01}, journal = {Data in Brief}, volume = {25}, pages = {103962}, keywords = {Bundle adjustment, Dense matching, Stereo, Structure from motion, Unmanned Aerial Vehicle}, pubstate = {published}, tppubtype = {article} } |
Chen, Leihan; Jung, Jaewook; Sohn, Gunho Multi-Scale Hierarchical CRF for Railway Electrification Asset Classification From Mobile Laser Scanning Data Journal Article IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12 , pp. 3131-3148, 2019. Links | BibTeX | Tags: Context modeling, Inspection, Lasers, Rail transportation, Task analysis, Three-dimensional displays, Wires @article{Chen2019MultiScaleHC, title = {Multi-Scale Hierarchical CRF for Railway Electrification Asset Classification From Mobile Laser Scanning Data}, author = {Leihan Chen and Jaewook Jung and Gunho Sohn}, url = {https://ieeexplore.ieee.org/document/8733888}, year = {2019}, date = {2019-01-01}, journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing}, volume = {12}, pages = {3131-3148}, keywords = {Context modeling, Inspection, Lasers, Rail transportation, Task analysis, Three-dimensional displays, Wires}, pubstate = {published}, tppubtype = {article} } |
Jung, Jaewook; Sohn, Gunho A line-based progressive refinement of 3D rooftop models using airborne LiDAR data with single view imagery Journal Article ISPRS Journal of Photogrammetry and Remote Sensing, 149 (0924-2716), pp. 157 - 175, 2019, ISSN: 0924-2716. Abstract | Links | BibTeX | Tags: Airborne imagery, Airborne laser scanning, Continuous modelling, Model selection, Rooftop modelling @article{JUNG2019157, title = {A line-based progressive refinement of 3D rooftop models using airborne LiDAR data with single view imagery}, author = {Jaewook Jung and Gunho Sohn}, url = {http://www.sciencedirect.com/science/article/pii/S0924271619300036}, doi = {https://doi.org/10.1016/j.isprsjprs.2019.01.003}, issn = {0924-2716}, year = {2019}, date = {2019-01-01}, journal = {ISPRS Journal of Photogrammetry and Remote Sensing}, volume = {149}, number = {0924-2716}, pages = {157 - 175}, abstract = {In recent years, many mega-cities have provided 3D photorealistic virtual models, a digital replica of the geometrical structures of cities, for more effective decision support in public safety, urban planning, and engineering applications. Most research attempts at reconstructing geometric models of cities treat such urban systems as if they are in a static environment. However, cities are dynamic systems that continuously change over time. Accordingly, their virtual representations need to be regularly updated in a timely manner to allow for accurate analysis. The concept of progressive city modelling is to continuously reconstruct city models by accommodating changes recognized in the spatio-temporal domain, while preserving unchanged structures. This paper proposes a novel fusion method to progressively refine building rooftop models over time by integrating multi-sensor data. The proposed method integrates the line modelling cues of existing rooftop models produced by airborne laser scanning data with the new ones extracted from optical imagery. This modelling cue integration process is developed to progressively rectify geometric errors based on Hypothesize and Test optimization using Minimum Description Length. A stochastic method, Markov Chain Monte Carlo, coupled with simulated annealing, is employed to generate model hypotheses and perform a global optimization for finding the best solution. This fusion method is designed to offset the limitations of respective sensors and thus rectify various modelling errors (shape deformation, boundary displacement, and orientation errors) that are often involved in rooftop building models. The performance evaluation tested over the ISPRS show the proposed modelling method can achieve the improvements of 1.8%, 0.54°, 0.33 m, and 0.007 for the quality, orientation difference, Hausdorff distance, and turning function distance, respectively, compared with initial building models. In addition, the proposed methods show the highest performance in the quality measure among the state of the art methods, while demonstrates competitive performance in the completeness and correctness measures.}, keywords = {Airborne imagery, Airborne laser scanning, Continuous modelling, Model selection, Rooftop modelling}, pubstate = {published}, tppubtype = {article} } In recent years, many mega-cities have provided 3D photorealistic virtual models, a digital replica of the geometrical structures of cities, for more effective decision support in public safety, urban planning, and engineering applications. Most research attempts at reconstructing geometric models of cities treat such urban systems as if they are in a static environment. However, cities are dynamic systems that continuously change over time. Accordingly, their virtual representations need to be regularly updated in a timely manner to allow for accurate analysis. The concept of progressive city modelling is to continuously reconstruct city models by accommodating changes recognized in the spatio-temporal domain, while preserving unchanged structures. This paper proposes a novel fusion method to progressively refine building rooftop models over time by integrating multi-sensor data. The proposed method integrates the line modelling cues of existing rooftop models produced by airborne laser scanning data with the new ones extracted from optical imagery. This modelling cue integration process is developed to progressively rectify geometric errors based on Hypothesize and Test optimization using Minimum Description Length. A stochastic method, Markov Chain Monte Carlo, coupled with simulated annealing, is employed to generate model hypotheses and perform a global optimization for finding the best solution. This fusion method is designed to offset the limitations of respective sensors and thus rectify various modelling errors (shape deformation, boundary displacement, and orientation errors) that are often involved in rooftop building models. The performance evaluation tested over the ISPRS show the proposed modelling method can achieve the improvements of 1.8%, 0.54°, 0.33 m, and 0.007 for the quality, orientation difference, Hausdorff distance, and turning function distance, respectively, compared with initial building models. In addition, the proposed methods show the highest performance in the quality measure among the state of the art methods, while demonstrates competitive performance in the completeness and correctness measures. |
2018 |
Zhao, Kang; Kang, Jungwon; Jung, Jaewook; Sohn, Gunho Building Extraction from Satellite Images Using Mask R-CNN with Building Boundary Regularization Inproceedings 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 242-2424, 2018, ISSN: 2160-7516. Abstract | Links | BibTeX | Tags: Architecture, Buildings, Image segmentation, Labeling, Satellites, Training, Urban areas @inproceedings{8575504b, title = {Building Extraction from Satellite Images Using Mask R-CNN with Building Boundary Regularization}, author = {Kang Zhao and Jungwon Kang and Jaewook Jung and Gunho Sohn}, doi = {10.1109/CVPRW.2018.00045}, issn = {2160-7516}, year = {2018}, date = {2018-06-01}, booktitle = {2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)}, pages = {242-2424}, abstract = {The DeepGlobe Building Extraction Challenge poses the problem of localizing all building polygons in the given satellite images. We can create polygons using an existing instance segmentation algorithm based on Mask R-CNN. However, polygons produced from instance segmentation have irregular shapes, which are far different from real building footprint boundaries and therefore cannot be directly applied to many cartographic and engineering applications. Hence, we present a method combining Mask R-CNN with building boundary regularization. Through the experiments, we find that the proposed method and Mask R-CNN achieve almost equivalent performance in terms of accuracy and completeness. However, compared to Mask R-CNN, our method produces better regularized polygons which are beneficial in many applications.}, keywords = {Architecture, Buildings, Image segmentation, Labeling, Satellites, Training, Urban areas}, pubstate = {published}, tppubtype = {inproceedings} } The DeepGlobe Building Extraction Challenge poses the problem of localizing all building polygons in the given satellite images. We can create polygons using an existing instance segmentation algorithm based on Mask R-CNN. However, polygons produced from instance segmentation have irregular shapes, which are far different from real building footprint boundaries and therefore cannot be directly applied to many cartographic and engineering applications. Hence, we present a method combining Mask R-CNN with building boundary regularization. Through the experiments, we find that the proposed method and Mask R-CNN achieve almost equivalent performance in terms of accuracy and completeness. However, compared to Mask R-CNN, our method produces better regularized polygons which are beneficial in many applications. |
Shahbazi, Mozhdeh; Sohn, Gunho; Théau, Jérôme High-density stereo image matching using intrinsic curves Journal Article ISPRS Journal of Photogrammetry and Remote Sensing, 146 , pp. 373-388, 2018. Links | BibTeX | Tags: Dense matching, Disparity search space, Energy function, Intrinsic curves, Occlusion, Optimization @article{2018JPRS..146..373S, title = {High-density stereo image matching using intrinsic curves}, author = {Mozhdeh Shahbazi and Gunho Sohn and Jérôme Théau}, doi = {10.1016/j.isprsjprs.2018.10.005}, year = {2018}, date = {2018-01-01}, journal = {ISPRS Journal of Photogrammetry and Remote Sensing}, volume = {146}, pages = {373-388}, keywords = {Dense matching, Disparity search space, Energy function, Intrinsic curves, Occlusion, Optimization}, pubstate = {published}, tppubtype = {article} } |
Al-Hor, Hadi; Sohn, Gunho; Claudio, Pio; Jadidi, Mojgan A; Ahmad, Afnan IV-4 , 2018. Links | BibTeX | Tags: BIM, CityGML, database, GIS, graph, IFC, model, Neo4j, Property, SPARQL, Web GIS Services @conference{isprs-annals-IV-4-89-2018, title = {A Semantic Graph Database for BIM-GIS Integrated Information Model for an Intelligent Urban Mobility Web Application}, author = {Hadi Al-Hor and Gunho Sohn and Pio Claudio and Mojgan A. Jadidi and Afnan Ahmad}, url = {https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-4/89/2018/}, doi = {10.5194/isprs-annals-IV-4-89-2018}, year = {2018}, date = {2018-01-01}, journal = {ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {IV-4}, pages = {89--96}, keywords = {BIM, CityGML, database, GIS, graph, IFC, model, Neo4j, Property, SPARQL, Web GIS Services}, pubstate = {published}, tppubtype = {conference} } |
Ko, Connie; Kang, Jungwon; Sohn, Gunho Deep Multi-Task Learning for Tree Genera Classification Conference IV2 , 2018. Links | BibTeX | Tags: deep neural network, lidar, multi-task learning, multiple-view data generation, tree classification @conference{2018ISPAn.IV2..153K, title = {Deep Multi-Task Learning for Tree Genera Classification}, author = {Connie Ko and Jungwon Kang and Gunho Sohn}, doi = {10.5194/isprs-annals-IV-2-153-2018}, year = {2018}, date = {2018-01-01}, journal = {ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {IV2}, pages = {153-159}, keywords = {deep neural network, lidar, multi-task learning, multiple-view data generation, tree classification}, pubstate = {published}, tppubtype = {conference} } |
Jahromi, Ali Baligh; Sohn, Gunho; Jung, Jaewook; Shahbazi, Mozhdeh; Kang, Jungwon Layout Slam With Model Based Loop Closure for 3D Indoor Corridor Reconstruction Conference IV-2 , 2018. Links | BibTeX | Tags: 3D Indoor Reconstruction, Extended Kalman Filter, Layout Estimation, Loop Closure, Model-based Matching, SLAM @conference{article, title = {Layout Slam With Model Based Loop Closure for 3D Indoor Corridor Reconstruction}, author = {Ali Baligh Jahromi and Gunho Sohn and Jaewook Jung and Mozhdeh Shahbazi and Jungwon Kang}, doi = {10.5194/isprs-annals-IV-2-25-2018}, year = {2018}, date = {2018-01-01}, journal = {ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {IV-2}, pages = {25-32}, keywords = {3D Indoor Reconstruction, Extended Kalman Filter, Layout Estimation, Loop Closure, Model-based Matching, SLAM}, pubstate = {published}, tppubtype = {conference} } |
Gulo, Eros; Sohn, Gunho; Ahmad, Afnan XLII-4 , 2018. Links | BibTeX | Tags: Fingerprint, Indoor Positioning, Location, Path Assessment, WLAN localization @conference{isprs-archives-XLII-4-253-2018, title = {Indoor Positioning Using WLAN Fingerprint Matching and Path Assessment with Retroactive Adjustment on Mobile Devices}, author = {Eros Gulo and Gunho Sohn and Afnan Ahmad}, url = {https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4/253/2018/}, doi = {10.5194/isprs-archives-XLII-4-253-2018}, year = {2018}, date = {2018-01-01}, journal = {ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {XLII-4}, pages = {253--260}, keywords = {Fingerprint, Indoor Positioning, Location, Path Assessment, WLAN localization}, pubstate = {published}, tppubtype = {conference} } |
Kiavarz, H; Jadidi, Mojgan A; Rajabifard, A; Sohn, Gunho BIM-GIS Oriented Intelligent Knowledge Discovery Conference XLII-4/W10 , 2018. Links | BibTeX | Tags: BIM, Fuzzy Reasoning, GIS, Knowledge discovery, Rules Extraction, Smart City @conference{articleb, title = {BIM-GIS Oriented Intelligent Knowledge Discovery}, author = {H Kiavarz and Mojgan A. Jadidi and A Rajabifard and Gunho Sohn}, doi = {10.5194/isprs-archives-XLII-4-W10-79-2018}, year = {2018}, date = {2018-01-01}, journal = {ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {XLII-4/W10}, pages = {79-82}, keywords = {BIM, Fuzzy Reasoning, GIS, Knowledge discovery, Rules Extraction, Smart City}, pubstate = {published}, tppubtype = {conference} } |
2017 |
Shahbazi, Mozhdeh; Sohn, Gunho; Théau, Jérôme Evolutionary Optimization for Robust Epipolar-Geometry Estimation and Outlier Detection Journal Article Algorithms, 10 , pp. 87, 2017. Links | BibTeX | Tags: Adaptive thresholding, Epipolar geometry, Evolutionary search, Genetic algorithm, Guided sampling, Outlier detection, Sparse matching @article{articlec, title = {Evolutionary Optimization for Robust Epipolar-Geometry Estimation and Outlier Detection}, author = {Mozhdeh Shahbazi and Gunho Sohn and Jérôme Théau}, doi = {10.3390/a10030087}, year = {2017}, date = {2017-01-01}, journal = {Algorithms}, volume = {10}, pages = {87}, keywords = {Adaptive thresholding, Epipolar geometry, Evolutionary search, Genetic algorithm, Guided sampling, Outlier detection, Sparse matching}, pubstate = {published}, tppubtype = {article} } |
Shahbazi, Mozhdeh; Sohn, Gunho; Théau, Jérôme; Ménard, Patrick Robust Structure-from-Motion Computation: Application to Open-Pit Mine Surveying from Unmanned Aerial Images Journal Article Journal of Unmanned Vehicle Systems, 2017. Links | BibTeX | Tags: Genetic algorithm, Mapping, Mining, Self-calibration, Sparse bundle adjustment, Structure-from-motion, successive reconstruction, Unmanned aerial imagery @article{articled, title = {Robust Structure-from-Motion Computation: Application to Open-Pit Mine Surveying from Unmanned Aerial Images}, author = {Mozhdeh Shahbazi and Gunho Sohn and Jérôme Théau and Patrick Ménard}, doi = {10.1139/juvs-2016-0027}, year = {2017}, date = {2017-01-01}, journal = {Journal of Unmanned Vehicle Systems}, keywords = {Genetic algorithm, Mapping, Mining, Self-calibration, Sparse bundle adjustment, Structure-from-motion, successive reconstruction, Unmanned aerial imagery}, pubstate = {published}, tppubtype = {article} } |
Jung, Jaewook; Jwa, Yoonseok; Sohn, Gunho Implicit Regularization for Reconstructing 3D Building Rooftop Models Using Airborne LiDAR Data Journal Article Sensors, 17 , 2017. Links | BibTeX | Tags: 3D building rooftop modeling, Airborne laser scanning data, Building reconstruction, Minimum description length, Regularization @article{articlee, title = {Implicit Regularization for Reconstructing 3D Building Rooftop Models Using Airborne LiDAR Data}, author = {Jaewook Jung and Yoonseok Jwa and Gunho Sohn}, doi = {10.3390/s17030621}, year = {2017}, date = {2017-01-01}, journal = {Sensors}, volume = {17}, keywords = {3D building rooftop modeling, Airborne laser scanning data, Building reconstruction, Minimum description length, Regularization}, pubstate = {published}, tppubtype = {article} } |
Jwa, Yoonseok; Sohn, Gunho Wind adaptive modeling of transmission lines using minimum description length Journal Article ISPRS Journal of Photogrammetry and Remote Sensing, 125 , pp. 193-206, 2017. Links | BibTeX | Tags: 3D transmission line model, Airborne laser scanning data, Hypothesis-verification, Minimum description length, Regression analysis, Splitting-merging, Wind blowing effect @article{articlef, title = {Wind adaptive modeling of transmission lines using minimum description length}, author = {Yoonseok Jwa and Gunho Sohn}, doi = {10.1016/j.isprsjprs.2017.01.013}, year = {2017}, date = {2017-01-01}, journal = {ISPRS Journal of Photogrammetry and Remote Sensing}, volume = {125}, pages = {193-206}, keywords = {3D transmission line model, Airborne laser scanning data, Hypothesis-verification, Minimum description length, Regression analysis, Splitting-merging, Wind blowing effect}, pubstate = {published}, tppubtype = {article} } |
Babacan, Kivanc; Chen, Leihan; Sohn, Gunho Semantic Segmentation of Indoor Point Clouds using Convolutional Neural Network Conference IV-4/W4 , 2017. Links | BibTeX | Tags: Convolutional Neural Network, Deep Learning, Indoor Modelling, Mobile Laser, Point Cloud, Semantic Segmentation @conference{articleg, title = {Semantic Segmentation of Indoor Point Clouds using Convolutional Neural Network}, author = {Kivanc Babacan and Leihan Chen and Gunho Sohn}, doi = {10.5194/isprs-annals-IV-4-W4-101-2017}, year = {2017}, date = {2017-01-01}, journal = {ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {IV-4/W4}, pages = {101-108}, keywords = {Convolutional Neural Network, Deep Learning, Indoor Modelling, Mobile Laser, Point Cloud, Semantic Segmentation}, pubstate = {published}, tppubtype = {conference} } |
Jahromi, Ali Baligh; Sohn, Gunho; Shahbazi, Mozhdeh; Kang, Jungwon A Preliminary Work on Layout SLAM for Reconstruction of Indoor Corridor Environments Conference IV-2/W4 , 2017. Links | BibTeX | Tags: Gaussian Sphere, Matching, ndoor Layout Reconstruction, Point Feature, Visual SLAM @conference{articleh, title = {A Preliminary Work on Layout SLAM for Reconstruction of Indoor Corridor Environments}, author = {Ali Baligh Jahromi and Gunho Sohn and Mozhdeh Shahbazi and Jungwon Kang}, doi = {10.5194/isprs-annals-IV-2-W4-295-2017}, year = {2017}, date = {2017-01-01}, journal = {ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {IV-2/W4}, pages = {295-302}, keywords = {Gaussian Sphere, Matching, ndoor Layout Reconstruction, Point Feature, Visual SLAM}, pubstate = {published}, tppubtype = {conference} } |
2016 |
Jung, Jaewook; Sohn, Gunho; Bang, Ki In; Wichmann, Andreas; Armenakis, Costas; Kada, Martin Matching Aerial Images to 3D Building Models Using Context-Based Geometric Hashing Journal Article Sensors, 16 , pp. 932, 2016. Links | BibTeX | Tags: 3D Building Models, Aerial Imagery, Geometric Hashing, Model to Image Matching, Registration @article{articlei, title = {Matching Aerial Images to 3D Building Models Using Context-Based Geometric Hashing}, author = {Jaewook Jung and Gunho Sohn and Ki In Bang and Andreas Wichmann and Costas Armenakis and Martin Kada}, doi = {10.3390/s16060932}, year = {2016}, date = {2016-01-01}, journal = {Sensors}, volume = {16}, pages = {932}, keywords = {3D Building Models, Aerial Imagery, Geometric Hashing, Model to Image Matching, Registration}, pubstate = {published}, tppubtype = {article} } |
Ko, Connie; Sohn, Gunho; Remmel, Tarmo; Miller, John Maximizing the Diversity of Ensemble Random Forests for Tree Genera Classification Using High Density LiDAR Data Journal Article Remote Sensing, 8 , 2016. Links | BibTeX | Tags: Ensemble Classification; Diversity Maximization, lidar, Random Forests, Tree Genera Classification @article{articlej, title = {Maximizing the Diversity of Ensemble Random Forests for Tree Genera Classification Using High Density LiDAR Data}, author = {Connie Ko and Gunho Sohn and Tarmo Remmel and John Miller}, doi = {10.3390/rs8080646}, year = {2016}, date = {2016-01-01}, journal = {Remote Sensing}, volume = {8}, keywords = {Ensemble Classification; Diversity Maximization, lidar, Random Forests, Tree Genera Classification}, pubstate = {published}, tppubtype = {article} } |
Shahbazi, Mozhdeh; Sohn, Gunho; Théau, Jérôme; Ménard, Patrick Revisiting Intrinsic Curves for Efficient Dense Stereo Matching Conference 2016. BibTeX | Tags: Energy, Intrinsic curves, Matching, Occlusion, Optimization, Search Space Reduction @conference{Shahbazi2016REVISITINGIC, title = {Revisiting Intrinsic Curves for Efficient Dense Stereo Matching}, author = {Mozhdeh Shahbazi and Gunho Sohn and Jérôme Théau and Patrick Ménard}, year = {2016}, date = {2016-01-01}, journal = {ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, pages = {123-130}, keywords = {Energy, Intrinsic curves, Matching, Occlusion, Optimization, Search Space Reduction}, pubstate = {published}, tppubtype = {conference} } |
Hor, Abdel-Hadi; Jadidi, Mojgan A; Sohn, Gunho BIM-GIS Integrated Geospatial Information Model using Semantic Web and RDF Graphs Inproceedings pp. 73-79, 2016. Links | BibTeX | Tags: BIM, CityGML, GIS, IFC, RDF Graph, Semantic Web, SPARQL @inproceedings{inproceedings, title = {BIM-GIS Integrated Geospatial Information Model using Semantic Web and RDF Graphs}, author = {Abdel-Hadi Hor and Mojgan A. Jadidi and Gunho Sohn}, doi = {10.5194/isprsannals-III-4-73-2016}, year = {2016}, date = {2016-01-01}, journal = {ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {III-4}, pages = {73-79}, keywords = {BIM, CityGML, GIS, IFC, RDF Graph, Semantic Web, SPARQL}, pubstate = {published}, tppubtype = {inproceedings} } |
Jung, Jaewook; Bang, Ki In; Sohn, Gunho; Armenakis, Costas Matching Aerial Images to 3D Building Models Based on Context-based Geometric Hashing Conference III-1 , 2016. Links | BibTeX | Tags: 3D Building Models, Aerial Imagery, Geometric Hashing, Model to Image Matching, Registration @conference{articlek, title = {Matching Aerial Images to 3D Building Models Based on Context-based Geometric Hashing}, author = {Jaewook Jung and Ki In Bang and Gunho Sohn and Costas Armenakis}, doi = {10.5194/isprsannals-III-1-17-2016}, year = {2016}, date = {2016-01-01}, journal = {ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {III-1}, pages = {17-23}, keywords = {3D Building Models, Aerial Imagery, Geometric Hashing, Model to Image Matching, Registration}, pubstate = {published}, tppubtype = {conference} } |
Jahromi, Ali Baligh; Sohn, Gunho Geometric Context and Orientation Map Combination for Indoor Corridor Modeling Using a Single Image Journal Article ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B4 , pp. 295-302, 2016. Links | BibTeX | Tags: Geometric Context, Hypothesis-verification, Indoor Model Reconstruction, Scene Layout Parameterization @article{articlel, title = {Geometric Context and Orientation Map Combination for Indoor Corridor Modeling Using a Single Image}, author = {Ali Baligh Jahromi and Gunho Sohn}, doi = {10.5194/isprsarchives-XLI-B4-295-2016}, year = {2016}, date = {2016-01-01}, journal = {ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {XLI-B4}, pages = {295-302}, keywords = {Geometric Context, Hypothesis-verification, Indoor Model Reconstruction, Scene Layout Parameterization}, pubstate = {published}, tppubtype = {article} } |
Babacan, Kivanc; Jung, Jaewook; Wichmann, Andreas; Jahromi, B; Shahbazi, Mozhdeh; Sohn, Gunho; Kada, Martin Towards Object Driven Floor Plan Extraction from Laser Point Cloud Journal Article ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B3 , pp. 3-10, 2016. Links | BibTeX | Tags: Door Detection, floor plan, Indoor Modelling, Mobile Laser, Point Cloud, Reconstruction @article{articlem, title = {Towards Object Driven Floor Plan Extraction from Laser Point Cloud}, author = {Kivanc Babacan and Jaewook Jung and Andreas Wichmann and B Jahromi and Mozhdeh Shahbazi and Gunho Sohn and Martin Kada}, doi = {10.5194/isprsarchives-XLI-B3-3-2016}, year = {2016}, date = {2016-01-01}, journal = {ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {XLI-B3}, pages = {3-10}, keywords = {Door Detection, floor plan, Indoor Modelling, Mobile Laser, Point Cloud, Reconstruction}, pubstate = {published}, tppubtype = {article} } |
2015 |
Shahbazi, Mozhdeh; Sohn, Gunho; Théau, Jérôme; Menard, Patrick Development and Evaluation of a UAV-Photogrammetry System for Precise 3D Environmental Modeling Journal Article Sensors, 15 , pp. 27493-27524, 2015. Links | BibTeX | Tags: Calibration, Georeferencing, Ground Control Point, Mine, Modeling, Photogrammetry, UAV @article{articlen, title = {Development and Evaluation of a UAV-Photogrammetry System for Precise 3D Environmental Modeling}, author = {Mozhdeh Shahbazi and Gunho Sohn and Jérôme Théau and Patrick Menard}, doi = {10.3390/s151127493}, year = {2015}, date = {2015-01-01}, journal = {Sensors}, volume = {15}, pages = {27493-27524}, keywords = {Calibration, Georeferencing, Ground Control Point, Mine, Modeling, Photogrammetry, UAV}, pubstate = {published}, tppubtype = {article} } |
Persad, Ravi; Armenakis, Costas; Sohn, Gunho Automatic Co-Registration of Pan-Tilt-Zoom (PTZ) Video Images with 3D Wireframe Models Journal Article Photogrammetric Engineering and Remote Sensing, 81 , pp. 847-859, 2015. @article{articleo, title = {Automatic Co-Registration of Pan-Tilt-Zoom (PTZ) Video Images with 3D Wireframe Models}, author = {Ravi Persad and Costas Armenakis and Gunho Sohn}, doi = {10.14358/PERS.81.11.847}, year = {2015}, date = {2015-01-01}, journal = {Photogrammetric Engineering and Remote Sensing}, volume = {81}, pages = {847-859}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Jwa, Yoonseok; Sohn, Gunho Kalman Filter Based Railway Tracking From Mobile LiDAR Data Conference 2015. Links | BibTeX | Tags: Bayesian Decision, Kalman Filtering, Mobile LiDAR Data, Railway Track Modeling @conference{Jwa2015KALMANFB, title = {Kalman Filter Based Railway Tracking From Mobile LiDAR Data}, author = {Yoonseok Jwa and Gunho Sohn}, url = {https://doi.org/10.5194/isprsannals-II-3-W5-159-2015}, year = {2015}, date = {2015-01-01}, journal = {ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, pages = {159-164}, keywords = {Bayesian Decision, Kalman Filtering, Mobile LiDAR Data, Railway Track Modeling}, pubstate = {published}, tppubtype = {conference} } |
Jahromi, Ali Baligh; Sohn, Gunho Edge Based 3D Indoor Corridor Modeling using a Single Image Conference II-3/W5 , 2015. Links | BibTeX | Tags: Geometric Reasoning, Hypothesis verification, Hypothesis-verification, Indoor Model Reconstruction, Scene Layout Parameterization @conference{articlep, title = {Edge Based 3D Indoor Corridor Modeling using a Single Image}, author = {Ali Baligh Jahromi and Gunho Sohn}, doi = {10.5194/isprsannals-II-3-W5-417-2015}, year = {2015}, date = {2015-01-01}, journal = {ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {II-3/W5}, pages = {417-424}, keywords = {Geometric Reasoning, Hypothesis verification, Hypothesis-verification, Indoor Model Reconstruction, Scene Layout Parameterization}, pubstate = {published}, tppubtype = {conference} } |
Wichmann, Andreas; Jung, Jaewook; Sohn, Gunho; Kada, Martin; Ehlers, Manfred II-3/W5 , 2015. Links | BibTeX | Tags: 3D point clouds, Buildings, Knowledge Base, Reconstruction, Regularization, Three-dimensional @conference{articleq, title = {Integration of Building Knowledge Into Binary Space Partitioning for the Reconstruction of Regularized Building Models}, author = {Andreas Wichmann and Jaewook Jung and Gunho Sohn and Martin Kada and Manfred Ehlers}, doi = {10.5194/isprsannals-II-3-W5-541-2015}, year = {2015}, date = {2015-01-01}, journal = {ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {II-3/W5}, pages = {541-548}, keywords = {3D point clouds, Buildings, Knowledge Base, Reconstruction, Regularization, Three-dimensional}, pubstate = {published}, tppubtype = {conference} } |
Zhang, Junjie; Jung, Jaewook; Sohn, Gunho; Cohen, Michael Thermal Infrared Inspection of Roof Insulation Using Unmanned Aerial Vehicles Inproceedings 2015. @inproceedings{inproceedingsb, title = {Thermal Infrared Inspection of Roof Insulation Using Unmanned Aerial Vehicles}, author = {Junjie Zhang and Jaewook Jung and Gunho Sohn and Michael Cohen}, doi = {10.5194/isprsarchives-XL-1-W4-381-2015}, year = {2015}, date = {2015-01-01}, journal = {ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {XL-1/W4}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Shahbazi, Mozhdeh; Sohn, Gunho; Théau, Jérôme; Menard, Patrick UAV-based point cloud generation for open-pit mine modelling. Inproceedings 2015. @inproceedings{inproceedingsc, title = {UAV-based point cloud generation for open-pit mine modelling.}, author = {Mozhdeh Shahbazi and Gunho Sohn and Jérôme Théau and Patrick Menard}, doi = {10.5194/isprsarchives-XL-1-W4-313-2015}, year = {2015}, date = {2015-01-01}, journal = {ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {XL-1/W4}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Shahbazi, Mozhdeh; Sohn, Gunho; Théau, Jérôme; Ménard, Patrick Robust Sparse Matching and Motion Estimation Using Genetic Algorithms Journal Article ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-3/W2 , pp. 197–204, 2015. @article{isprs-archives-XL-3-W2-197-2015, title = {Robust Sparse Matching and Motion Estimation Using Genetic Algorithms}, author = {Mozhdeh Shahbazi and Gunho Sohn and Jérôme Théau and Patrick Ménard}, url = {https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3-W2/197/2015/}, doi = {10.5194/isprsarchives-XL-3-W2-197-2015}, year = {2015}, date = {2015-01-01}, journal = {ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {XL-3/W2}, pages = {197--204}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
2014 |
Ko, Connie; Sohn, Gunho; Remmel, Tarmo; Miller, John Hybrid Ensemble Classification of Tree Genera Using Airborne LiDAR Data Journal Article Remote Sensing, 6 , pp. 11225-11243, 2014. @article{articler, title = {Hybrid Ensemble Classification of Tree Genera Using Airborne LiDAR Data}, author = {Connie Ko and Gunho Sohn and Tarmo Remmel and John Miller}, doi = {10.3390/rs61111225}, year = {2014}, date = {2014-01-01}, journal = {Remote Sensing}, volume = {6}, pages = {11225-11243}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Zhang, Junjie; Sohn, Gunho; Brédif, Mathieu ISPRS Journal of Photogrammetry and Remote Sensing, 98 , pp. 44–57, 2014. @article{articles, title = {A hybrid framework for single tree detection from airborne laser scanning data: A case study in temperate mature coniferous forests in Ontario, Canada}, author = {Junjie Zhang and Gunho Sohn and Mathieu Brédif}, doi = {10.1016/j.isprsjprs.2014.08.007}, year = {2014}, date = {2014-01-01}, journal = {ISPRS Journal of Photogrammetry and Remote Sensing}, volume = {98}, pages = {44–57}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Guo, Bo; Huang, Xianfeng; Zhang, Fan; Sohn, Gunho Classification of airborne laser scanning data using JointBoost Journal Article ISPRS Journal of Photogrammetry and Remote Sensing, 92 , pp. 124–136, 2014. @article{articlet, title = {Classification of airborne laser scanning data using JointBoost}, author = {Bo Guo and Xianfeng Huang and Fan Zhang and Gunho Sohn}, doi = {10.1016/j.isprsjprs.2014.03.004}, year = {2014}, date = {2014-01-01}, journal = {ISPRS Journal of Photogrammetry and Remote Sensing}, volume = {92}, pages = {124–136}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Luo, Chao; Jwa, Yoon; Sohn, Gunho; Won, Jong; Lee, Suk Railway Object Recognition Using Mobile Laser Scanning Data Journal Article Journal of the Korea Industrial Information System Society, 19 , pp. 85-91, 2014. @article{articleu, title = {Railway Object Recognition Using Mobile Laser Scanning Data}, author = {Chao Luo and Yoon Jwa and Gunho Sohn and Jong Won and Suk Lee}, doi = {10.9723/jksiis.2014.19.2.085}, year = {2014}, date = {2014-01-01}, journal = {Journal of the Korea Industrial Information System Society}, volume = {19}, pages = {85-91}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Rottensteiner, Franz; Sohn, Gunho; Gerke, Markus; Wegner, Jan Theme section “Urban object detection and 3D building reconstruction” Journal Article ISPRS Journal of Photogrammetry and Remote Sensing, 93 , 2014. @article{articlev, title = {Theme section “Urban object detection and 3D building reconstruction”}, author = {Franz Rottensteiner and Gunho Sohn and Markus Gerke and Jan Wegner}, doi = {10.1016/j.isprsjprs.2014.04.009}, year = {2014}, date = {2014-01-01}, journal = {ISPRS Journal of Photogrammetry and Remote Sensing}, volume = {93}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Rottensteiner, Franz; Sohn, Gunho; Gerke, Markus; Wegner, Jan; Breitkopf, Uwe; Jung, Jaewook Results of the ISPRS benchmark on urban object detection and 3D building reconstruction Journal Article ISPRS Journal of Photogrammetry and Remote Sensing, 93 , pp. 256-271, 2014. @article{articlew, title = {Results of the ISPRS benchmark on urban object detection and 3D building reconstruction}, author = {Franz Rottensteiner and Gunho Sohn and Markus Gerke and Jan Wegner and Uwe Breitkopf and Jaewook Jung}, doi = {10.1016/j.isprsjprs.2013.10.004}, year = {2014}, date = {2014-01-01}, journal = {ISPRS Journal of Photogrammetry and Remote Sensing}, volume = {93}, pages = {256-271}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Ko, Connie; Sohn, Gunho; Remmel, Tarmo; Miller, John Tree genera classification with unknown class using high density lidar data by ensemble classification models. Inproceedings 2014. BibTeX | Tags: @inproceedings{inproceedingsd, title = {Tree genera classification with unknown class using high density lidar data by ensemble classification models.}, author = {Connie Ko and Gunho Sohn and Tarmo Remmel and John Miller}, year = {2014}, date = {2014-01-01}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Luo, Chao; Jwa, Yoonseok; Sohn, Gunho Context Based Multiple Railway Object Recognition From Mobile Laser Scanning Data Inproceedings 2014. @inproceedings{inproceedingse, title = {Context Based Multiple Railway Object Recognition From Mobile Laser Scanning Data}, author = {Chao Luo and Yoonseok Jwa and Gunho Sohn}, doi = {10.1109/IGARSS.2014.6947262}, year = {2014}, date = {2014-01-01}, journal = {International Geoscience and Remote Sensing Symposium (IGARSS)}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Jwa, Yoonseok; Sohn, Gunho; Pierre, Tony; Sarthou, Charles; Zhang, Junjie 3D Reconstruction of Power Line Models from Airborne Image-based Point Cloud Data Inproceedings 2014. BibTeX | Tags: @inproceedings{inproceedingsf, title = {3D Reconstruction of Power Line Models from Airborne Image-based Point Cloud Data}, author = {Yoonseok Jwa and Gunho Sohn and Tony Pierre and Charles Sarthou and Junjie Zhang}, year = {2014}, date = {2014-01-01}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Luo, Chao; Sohn, Gunho Scene-Layout Compatible Conditional Random Field for Classifying Terrestrial Laser Point Clouds Inproceedings 2014. @inproceedings{inproceedingsg, title = {Scene-Layout Compatible Conditional Random Field for Classifying Terrestrial Laser Point Clouds}, author = {Chao Luo and Gunho Sohn}, doi = {10.5194/isprsannals-II-3-79-2014}, year = {2014}, date = {2014-01-01}, journal = {ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {II-3}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |