“^” refers to my advisees.
Book Chapters (B)
[B4] Hessah Albanwan^, Rongjun Qin (2020). Spatiotemporal Filtering for Fusion in Remote Sensing. In Kwan, C. (Eds.), Recent Advances in Image Restoration with Applications to Real World Problems. IntechOpen (link) (Invited)
[B3] Rongjun Qin, Shuang Song^, Xiao Ling^, Mostafa Elhashash^ (2020). 3D reconstruction through fusion of cross-view images. In Kwan, C. (Eds.), Recent Advances in Image Restoration with Applications to Real World Problems. IntechOpen (link) (Invited)
[B2] Rongjun Qin. Change Detection for Geodatabase Updating. 3D/4D City Modeling – From Sensors to Applications. Whittles Publishing Scotland. (Invited)
[B1] Rongjun Qin, Xu Huang^. Geometric Processing for Image-based 3D Object Modeling. 3D/4D City Modeling – From Sensors to Applications. Whittles Publishing Scotland.(Invited)
Reports
Armin Gruen, Gerhard Schrotter, Simon Schubiger, Rongjun Qin, Biao Xiong, Changlin, Xiao^, Jiaqiang, Li, Xiao Ling, Sidan, Yao (2020). An Operable System for LoD3 Model Generation Using Multi-Source Data and User-Friendly Interactive Editing. ETH-Z Research Collection. (link)
Journal Articles (J) & Top Conference Papers in CV (TC)
[TC4] Ningli Xu^, Rongjun Qin (2024). Geospecific View Generation – Geometry-Context Aware High-resolution Ground View Inference from Satellite Views. European Conference on Computer Vision (ECCV). Milan, Italy, 2024. (arxiv, link) [Oral].
[78] Francesco Nex, Elisavet Konstantina Stathopoulou, Fabio Remondino, Michael Ying Yang, Logambal Madhuanand, Yogender Yadav, Bashar Alsadik, Martin Weinmann, Boris Jutzi, and Rongjun Qin (2024). UseGeo–a UAV-Based Multi-Sensor Dataset for Geospatial Research. ISPRS Open Journal of Photogrammetry and Remote Sensing, 100070. https://doi.org/10.1016/j.ophoto.2024.100070 (link)
[77] Debao Huang^, Rongjun Qin, Mostafa Elhashash^ (2024). Bundle Adjustment with Motion Constraints for Uncalibrated Multi-Camera Systems at The Ground Level. ISPRS Journal of Photogrammetry and Remote Sensing. (link, video)
[76] Ningli Xu^, Rongjun Qin, Debao Huang^, Fabio Remondino (2024). Multi-tiling Neural Radiance Field (NeRF) – Geometric Assessment on Large-scale Aerial Datasets. The Photogrammetric Record. https://doi.org/10.1111/phor.12498SECTIONS (arxiv)
[75] Jung-kuan Liu, Rongjun Qin, Samantha Arundel (2024). Assessing the utility of UAS photogrammetrically derived point clouds for land cover classification in the Alaska North Slope. Photogrammetric Engineering & Remote Sensing.90(7), 405-414
[J74] Zhihua Xu, Yiru Niu, Yan Cui, Rongjun Qin, Wenbin Sun. PL-Pose: Robust Camera Localization Based on Combined Point and Line Features Using Control Images. The Photogrammetric Record (2024). https://doi.org/10.1111/phor.12481 (link)
[J73] Hessah Albanwan^, Rongjun Qin, Jung-Kuan Liu (2024). Remote Sensing-Based 3D Assessment of Landslides: A Review of the Data, Methods, and Applications. Remote Sensing . https://doi.org/10.3390/rs16030455. (link)
[J72] Shengxi Gui^, Shuang Song^, Rongjun Qin, Yang Tang^ (2024). Remote Sensing Object Detection in the Deep Learning Era – A Review. Remote Sensing . https://doi.org/10.3390/rs16020327. (link).
[J71] Sean Downey, Matthew Walker, Jacob Moschler, Filiberto Penados, William Peterman, Juan Pop, Rongjun Qin, Shane Scaggs, and Shuang Song^ (2023). An intermediate level of disturbance with customary agricultural practices increases species diversity in Maya community forests in Belize. Communications Earth & Environment.DOI: 10.1038/s43247-023-01089-6.
[J70] Yongsheng Bai, Halil Sezen, Alper Yilmaz, Rongjun Qin. Bridge vibration measurements using different camera placements and techniques of computer vision and deep learning. Advances in Bridge Engineering, 4, 25 (2023). https://doi.org/10.1186/s43251-023-00105-1. (link).
[J69] Tiangang Yin, Paul M. Montesano, Bruce D. Cook, Eric Chavanon, Christopher S. R. Neigh, David Shean, Dongju Peng, Nicolas Lauret, Ameni Mkaouar, Omar Regaieg, Zhijun Zhen, Rongjun Qin, Jean-Philippe Gastellu-Etchegorry, Douglas C. Morton. Modeling forest canopy surface retrievals using very high-resolution spaceborne stereogrammetry: (II) optimizing acquisition configurations. Remote Sensing of Environment, 298, 113824 (2023). (link).
[J68] Mostafa Elhashash^, Rongjun Qin (2023). Select-and-Combine (SAC): A Novel Multi-Stereo Depth Fusion Algorithm for Point Cloud Generation via Efficient Local Markov Netlets. IEEE Transactions on Geoscience and Remote Sensing. DOI 10.1109/TGRS.2023.3303179 (link, pdf)
[J67] Shuang Song^, Rongjun Qin (2023). Mesh Conflation of Oblique Photogrammetric Models using Virtual Cameras and Truncated Signed Distance Field. IEEE Geoscience and Remote Sensing Letters. DOI 10.1109/LGRS.2023.3298321 (link, pdf)
[J66] Fabio Remondino, Ali Karami, Ziyang Yan, Gabriele Mazzacca, Simone Rigon, Rongjun Qin (2023). A critical analysis of NeRF-based 3D reconstruction. Remote Sensing.15, no. 14: 3585. https://doi.org/10.3390/rs15143585 (link, Editor’s Choice Article)
[J65] Guixiang Zhang^, Shuang Song^, Jenny Panescu, Nicholas Shapiro, Karen C. Dannemiller, Rongjun Qin (2023). A novel systems solution for accurate colorimetric measurement through smartphone-based augmented reality. PLOS ONE 18, no. 6 (2023): e0287099. (link)
[J64] Xiao Ling^, Rongjun Qin (2023). Large-scale and Efficient Texture Mapping Algorithm via Loopy Belief Propagation. IEEE Transactions on Geoscience and Remote Sensing (link, arxiv).
[J63] Ningli Xu^, Rongjun Qin, Shuang Song^ (2023). Point Cloud Registration for LiDAR and Photogrammetric Data: a Critical Synthesis and Performance Analysis on Classic and Deep Learning Algorithms. ISPRS Open Journal of Photogrammetry and Remote Sensing, 100032. (arxiv, link, github) (Invited paper)
[J62] Yang Tang^, Shuang Song^, Shengxi Gui^, Weilun Chao, Chinmin Cheng, Rongjun Qin (2023). Active and Low-Cost Hyperspectral Imaging for the Spectral Analysis of a Low-Light Environment. Sensors, 23(3), 1437. (link).
[J61] Jian Wang, Desheng Liu, Steven Quiring, Rongjun Qin (2023). Estimating canopy height change using machine learning by coupling WorldView-2 stereo imagery with Landsat-7 data. International Journal of Remote Sensing, 44 (2), 631-645. (link).
[J60] Nabeel Mahmood^, Rongjun Qin, Tarunjit Butalia, Maram Manasrah (2022). Real-time site safety risk assessment and intervention method using the RFID-based multi-sensor intelligent system. Work. pp.1-18,2022. (link)
[J59] Hessah Albanwan^, Rongjun Qin (2022). A comparative study on deep‐learning methods for dense image matching of multi‐angle and multi‐date remote sensing stereo‐images. The Photogrammetric Record, 37(180), 385-409. (link)
[J58] Mostafa Elhashash^, Hessah Albanwan^, Rongjun Qin (2022). A Review of Mobile Mapping Systems: From Sensors to Applications. Sensors, 22(11), 4262.(link, arxiv) (Invited paper) (Editor’s Choice Article)
[J57] Mostafa Elhashash^, Rongjun Qin. (2022). Cross-view SLAM solver: global pose estimation of monocular ground-level video frames for 3D reconstruction using a reference 3D model from satellite images. ISPRS Journal of Photogrammetry and Remote Sensing, 188, 62-74. (link, github).
[J56] Debao Huang^, Yang Tang^, Rongjun Qin. (2022). An evaluation of planetscope images for 3D reconstruction and change detection – experimental validations with case studies. GIScience & Remote Sensing Journal. 59(1): 744-761. (link).
[J55] Rongjun Qin, Xiao Ling^, Elisa Mariarosaria Farella, Fabio Remondino (2022). Uncertainty-guided Depth Fusion from Multi-view Satellite Images to Improve the Accuracy in Large Scale DSM Generation. Remote Sensing, 14(6), 1309. (link, video).
[J54] Nabeel Mahmood^, Tarunjit Butalia, Rongjun Qin, Maram Manasrah (2022). Concurrent Events Risk Assessment Generic Models with Enhanced Reliability 2 Using Fault Tree Analysis and Expanded Rotational Fuzzy Sets. Expert Systems with Applications, 197, 116681. (link).
[J53] Zhihua Xu, Xingzheng Lu, Wenliang Wang, Ershuai Xu, Rongjun Qin, Yiru Niu, Xu Qiao, Feng Yang (2022). Monocular Video Frame Optimization through Feature-based Parallax Analysis for 3D Pipe Reconstruction. Photogrammetric Engineering & Remote Sensing, 88(7), 469-478. (link).
[J52] Rongjun Qin, Tao Liu (2022). A Review of Landcover Classification with Very-high Resolution Remotely Sensed Optical Images – Analysis Unit, Model Scalability and Transferability. Remote Sensing, 14(3), 646. (link, arxiv)(Invited paper)
[J51] Xiao Ling, Rongjun Qin (2022). A Graph-Matching Approach for Cross-view Registration of Over-view and Street-view based Point Clouds. ISPRS Journal of Photogrammetry and Remote Sensing, 185 (2022): 2-15. (link, github)
[J50] Dorothée James, Antoine Collin, Antoine Mury, Rongjun Qin (2022). Satellite–Derived Topography and Morphometry for VHR Coastal Habitat Mapping: The Pleiades–1 Tri–Stereo Enhancement. Remote Sensing, 14(1), 219. (link)
[J49] Min Chen, Shaohua Yan, Rongjun Qin, Xi Zhao, Tong Fang, Qing Zhu, Xuming Ge. Hierarchical Line Segment Matching for Wide-baseline Images via Exploiting Viewpoint Robust Local Structure and Geometric Constraints. ISPRS Journal of Photogrammetry and Remote Sensing, 181 (2021): 48-66. (link).
[J48] Shengxi, Gui^, Rongjun Qin. Automated LoD-2 Model Reconstruction from Very-High-Resolution Satellite-derived Digital Surface Model and Orthophoto. ISPRS Journal of Photogrammetry and Remote Sensing. 181 (2021): 1-19. (arxiv, link, Github,video) – (Featured Article of the month, Editor’s Choice Article)
[J47] Nabeel Mahmmod^, Rongjun Qin, Tarunjit Singh Butalia (2021). Safety risk assessment intelligent system for on-foot construction worker using fuzzy fault tree. Journal of Intelligent & Fuzzy Systems. 41 (2021): 929–954. (link, pdf)
[J46] Xu, Ningli^, Debao Huang^, Shuang Song^, Xiao Ling^, Chris Strasbaugh, Alper Yilmaz, Halil Sezen, and Rongjun Qin. A volumetric change detection framework using UAV oblique photogrammetry–a case study of ultra-high-resolution monitoring of progressive building collapse. International Journal of Digital Earth (2021): 1-16. (pdf, link, Github, video).
[TC3] Shuang Song^, Zhaopeng Cui, Rongjun Qin. Vis2Mesh: Efficient Mesh Reconstruction from Unstructured Point Clouds of Large Scenes with Learned Virtual View Visibility. International Conference on Computer Vision (ICCV) 2021 (pdf, link ,Github, video).
[TC2] Zuoyue Li, Zhenqiang Li, Zhaopeng Cui, Rongjun Qin, Marc Pollefeys, Martin R. Oswald. Street-view Panoramic Video Synthesis from a Single Satellite Image. International Conference on Computer Vision (ICCV) 2021. (arxiv, link).
[J45] Xiao Ling^, Xu Huang^, and Rongjun Qin (2021). A Unified Framework of Bundle Adjustment and Feature Matching for High-Resolution Satellite Images. Photogrammetric Engineering & Remote Sensing 87, no. 7 (2021): 485-490. (link)
[J44] Wenxia Gan^, Hessah Albanwan^, Rongjun Qin. Radiometric Normalization of Multi-Temporal Landsat and Sentinel-2 Images Using a Reference MODIS Product through Spatiotemporal Filtering. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.14 (2021): 4000-4013.(pdf, link)
[J43] Dewayany Sutrisno, Mulyanto Darmawan, Ati Rahadiati, muhammad Helmi, Armaiki Yusmur, Mazlan Bin Hashim, Peter Tian-yuan Shih, Rongjun Qin, Zhang Li (2021). Spatial-Planning-Based Ecosystem Adaption (SPBEA): A Concept and Modelling of Prone Shoreline Retreat Areas. ISPRS International Journal of Geo-Information, 10(3): 176. (link)
[J42] Caleb Robinson, Kolya Malkin, Nebojsa Jojic, Huijun Chen^, Rongjun Qin, Changlin Xiao^, Michael Schmitt, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya (2021). Global Land Cover Mapping with Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14: 3185-3199.(link).
[J41] Yulu Chen^, Rongjun Qin, Guixiang Zhang^, Hessah Albanwan^ (2021). Spatial Temporal Analysis of Traffic Patterns during the COVID-19 Epidemic by Vehicle Detection Using Planet Remote-Sensing Satellite Images. Remote Sensing, 13(2):208. (link) (Invited paper) (Editor’s Choice Article)
[J40] Liu, Wei, Fulin Su, Xinfei Jin, Hongxu Li, and Rongjun Qin. “Bispace Domain Adaptation Network for Remotely Sensed Semantic Segmentation.” IEEE Transactions on Geoscience and Remote Sensing (2020), vol. 60, pp. 1-11. (link, Github)
[J39] Yang Xu, Adil M. Rather, Shuang Song^, Jen-Chun Fang, Robert L. Dupont, Ufuoma I. Kara, Yun Chang, Joel A. Paulson, Rongjun Qin, Xiaoping Bao, Xiaoguang Wang . Ultrasensitive and Selective Detection of SARS-CoV-2 using Thermotropic Liquid Crystals and Image-based Machine Learning. Cell Reports Physical Science, (2020): 100276. (link)
[J38] Yilong Han^, Wei Liu^, Xu Huang^, Shugen Wang, Rongjun Qin(2020). Stereo Dense Image Matching by Adaptive Fusion of Multiple-Window Matching Results. Remote Sensing, 12(19), 3138. (link)
[J37] (2020) The Role of Machine Intelligence in Photogrammetric 3D Modeling – An Overview and Perspectives. International Journal of Digital Earth, 14(1), 15-31. (link)
[J36] Xu Huang^, Rongjun Qin (2020). Post-Filtering with Surface Orientation Constraints for Stereo Dense Image Matching. The Photogrammetric Record, 35(171), 375-401.(link,Github,code)
[J35] Jiaqiang Li, Biao Xiong, Rongjun Qin, Armin Gruen (2020). A Flexible Inference Machine for Global Alignment of Wall Openings. Remote Sensing, 12(12), 1968. (link)
[J34] Xu Huang^, Wei Liu^, and Rongjun Qin (2020). A Window Size Selection Network for Stereo Dense Image Matching. International Journal of Remote Sensing, 41 (12), 4836-4846 (link)
[TC1] Xiaohu Lu^, Zuoyue Li, Zhaopeng Cui, Martin Oswald, Marc Pollefeys, Rongjun Qin. (2020) Geometry-Aware Satellite-to-Ground Image Synthesis for Urban Areas. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2020, Seattle) (pdf, link, code, Github).
[J33] Xiao, Changlin^, Rongjun Qin, and Xiao Ling^ (2020). Urban Land-cover Classification Using Side-View Information from Oblique Images. Remote Sensing 12(3): 390.(link)
[J32] Yilong Han^, Rongjun Qin, Xu Huang^ (2020). Assessment of dense image matchers for digital surface model generation using airborne and spaceborne images – an update. The Photogrammetric Record. 35 (169). 58-80. (link).
[J31] Lin, Erin, Rongjun Qin, Jared Edgerton, and Deren Kong^. “Crater detection from commercial satellite imagery to estimate unexploded ordnance in Cambodian agricultural land.” Plos one 15, no. 3 (2020): e0229826. (link)
[J30] Wei Liu^, Rongjun Qin (2020). A multi-kernel domain adaptation method for unsupervised transfer learning on cross-source and cross-region remote sensing data classification. IEEE Transactions on Geosciences and Remote Sensing. PP(99):1-11 (pdf, link, Github)
[J29] Changlin Xiao^, Rongjun Qin, Xu Huang^ (2020). Treetop Detection using Convolution Neural Networks Trained through Automatically Generated Pseudo Labels. International journal of remote sensing. 2020, 41(8): 3010-3030.(link, pdf)
[J28] Hessah Albanwan^, Rongjun Qin, Xiaohu Lu^, Mao Li^, Desheng Liu, Jean-Michel Guldmann (2020). 3D Iterative spatiotemporal Filtering for Classification of Multi-temporal Satellite Dataset. Photogrammetric Engineering and Remote Sensing. 2020, 86(1): 23-31.(link, pdf)
[J27] Dewayany Sutrisno, Peter Tian-yuan Shih, Mazlan bin Hashim, Rongjun Qin, Pramadita Wicaksono, Rahman Syaifoel (2019). Improving Community Capacity in Rapid Disaster Mapping: An Evaluation of Summer School. Indonesian Journal of Geography. Volume: 51, Issue No. 1, April 2019. (link)
[J26] Abderrahim Nemmaoui, Fernando J. Aguilar, Rongjun Qin and Manuel Aguilar (2019). DSM and DTM Generation from VHR Satellite Stereo Imagery over Plastic Covered Greenhouse Areas. Computers and Electronics in Agriculture. 164 (2019). 104903. (pdf, link)
[J25] Huang Yao, Rongjun Qin and Xiaoyu Chen (2019) Unmanned Aerial Vehicle for Remote Sensing Applications—A Review. Remote Sensing. 11(12), 1443. (pdf, link)
[J24] Rongjun Qin (2019) A Critical Analysis of Satellite Stereo Pairs for Digital Surface Model Generation and A Matching Quality Prediction Model. ISPRS Journal of Photogrammetry and Remote Sensing. 154 (2019). 139-150 (pdf, link, Github)
[J23] Wei Liu^, Rongjun Qin, Fulin Su (2019) Weakly supervised classification of time-series of very high resolution remote sensing images by transfer learning. Remote Sensing Letters. 2019, 10(7): 689-698. (link)
[J22] Rongjun Qin, Min Chen, Xu Huang^, Kun Hu^ (2019) Disparity refinement in depth discontinuity using robustly matched straight lines for digital surface model generation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. (2019) 1-12 (pdf, link)
[J21] Siyang Zhang^, Nicholas Shapiro, Gretchen Gehrke, Jessica Castner, Zhenlei Liu, Beverly Guo, Romesh Prasad, Jianshun Zhang, Sarah Haines, David Kormos, Paige Frey, Rongjun Qin, Karen C. Dannemiller (2019) Smartphone App for Residential Testing of Formaldehyde (SmART-Form). Building and Environment. 148 (2019) 567-578 (pdf, link)
[J20] Changlin Xiao^, Rongjun Qin, Xiao Xie, Xu Huang^ (2019) Individual Tree Detection and Crown Delineation with 3D information from Multi-view Satellite Images. Photogrammetric Engineering and Remote Sensing. 85(1) 55-63 (pdf, link)
[J19] Manuel A. Arguilar, Abderrahim Nemmaoui, Furnando J. Arguilar and Rongjun Qin (2019). Quality Assessment of Digital Surface Models Extracted from WorldView-2 and WorldView-3 Stereo Pairs over Different Land Covers. GIScience & Remote Sensing Journal. 56(1), 109-129. (link)
[J18] Xu Huang^, Rongjun Qin, Changlin Xiao^, Xiaohu Lu^ (2018). Super Resolution of Laser Range Data Based on Image-guided Fusion and Dense Matching. ISPRS Journal of Photogrammetry and Remote Sensing. 144 (2018) 105-118. (pdf, Github, link)
[J17] Hessah Albanwan^, Rongjun Qin (2018). A Novel Spectrum Enhancement Technique for Multi-temporal, Multi-Spectral Data Using Spatial-temporal Filtering. ISPRS Journal of Photogrammetry and Remote Sensing. 142 (2018) 51-63. (pdf, link)
[J16] Min Chen, Rongjun Qin, Haiqing He, Qing Zhu, and Xing Wang (2018). A Local Distinctive Features Matching Method for Remote Sensing Images with Repetitive Patterns. Photogrammetric Engineering & Remote Sensing. 84(8) 513-524(pdf)
[J15] Xin Huang, Dawei Wen, Jiayi Li, and Rongjun Qin (2017). Multi-level Monitoring of Subtle Urban Changes for the Megacities of China Using High-resolution Multi-view Satellite Imagery. Remote Sensing of Environment 196 (2017): 56-75. (link)
[J14] Shouji Du, Yunsheng Zhang, Rongjun Qin, Zhihua Yang, Zhengrong Zou, Yuqi Tang, Chong, Fan (2016). Building Change Detection Using Old Aerial Images and New LiDAR Data. Remote Sensing. 8, no. 12: 1030. (pdf, link)
[J13] Rongjun Qin, Jiaojiao Tian, Peter Reinartz (2016). 3D Change Detection – Approaches and Applications. ISPRS Journal of Photogrammetry and Remote Sensing. 122 (2016) 41-56. (pdf, link)
[J12] Rongjun Qin, Xin Huang, Armin Gruen and Gerhard Schmitt (2015). Object-based 3-D Building Change Detection on Multitemporal Stereo Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 5 (8), 2125-2137. (pdf, link)
[J11] Qian Zhang, Rongjun Qin, X. Huang, Yong Fang and Liang Liu (2015). Classification of Ultra-High Resolution Orthophotos Combined with DSM Using a Dual Morphological Top Hat Profile. Remote Sensing 7 (12), 16422-16440. (pdf, link)
[J10] Rongjun Qin, Jiaojiao Tian, Peter Reinartz (2015). Spatiotemporal Inferences for Use in Building Detection Using Series of Very High Resolution Spaceborne Stereo Images. International Journal of Remote Sensing. (2015) 1-22 (pdf, link)
[J9] Rongjun Qin (2015). A Mean Shift Vector based Shape Feature for Classification of High Spatial Resolution Remotely Sensed Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 5 (8), 1974-1985. (pdf, link)
[J8] Rongjun Qin (2014). An Object-based Hierarchical Method for Change Detection Using Unmanned Aerial Vehicle Images. Remote Sensing. 6 (9), 7911-7932. (pdf, link)
[J7] Rongjun Qin (2014). Change Detection on LOD 2 Building Models with Very High Resolution Spaceborne Stereo Imagery. ISPRS Journal of Photogrammetry and Remote Sensing. 96 (2014), 179-192. (pdf, link)
[J6] Rongjun Qin, Wei Fang (2014). A Hierarchical Building Detection Method for Very High Resolution Remotely Sensed Images Combined with DSM Using Graph Cut Optimization. Photogrammetric Engineering and Remote Sensing. 80(8), 37-47. (pdf)
[J5] Rongjun Qin, Armin Gruen (2014). 3D Change Detection at Street Level Using Mobile Laser Scanning Point Clouds and Terrestrial Images. ISPRS Journal of Photogrammetry and Remote Sensing. 90(2014), 23-35. (pdf, link).
[J4] Armin Gruen, Xianfeng Huang, Rongjun Qin, Tangwu Du, Wei Fang, Joao Boavida, Adriano Oliveira (2014). Joint processing of UAV imagery and terrestrial mobile mapping system data for very high resolution city modeling. gis.Science 1 (2014): 10-20. (pdf)
[J3] Rongjun Qin, Jianya, Gong, Hongli Li and Xianfeng Huang (2013). A Coarse Elevation Map-based Registration Method for Super-resolution of Three-line Scanner Images. Photogrammetric Engineering and Remote Sensing 79 (8), 717-730. (pdf)
[J2] Müller Arisona, Stefan, Chen Zhong, Xianfeng Huang and Rongjun Qin (2013). ‘Increasing Detail of 3D Models Through Combined Photogrammetric and Procedural Modelling’, Journal of Geo-Spatial Information Science, Special Issue on Future Smart Cities in Need of Spatial Intelligence 16(1): 45-53. (link)
[J1] Rongjun Qin, Jianya Gong (2011). A Robust Method of Calculating Point Spread Function from Knife-edge, Journal of Remote Sensing. 15 (5), 895-907. (pdf)
Conference Papers (C)
[C53] Shuang Song^, Luca Morelli, Xinyi Wu^, Rongjun Qin, Hessah Albanwan^, Fabio Remondino (2024). Deep Learning Meets Satellite Images – An Evaluation on Handcrafted and Learning-based Features for Multi-date Satellite Stereo Images. 2nd Workshop on Traditional Computer Vision in the Age of Deep Learning (TradiCV), in European Conference on Computer Vision (ECCV). 2024.
[C52] Jung kuan Liu, Rongjun Qin, Shuang Song^. Automated deep learning-based point could classification on USGS 3DEP Lidar data using Transformer. IGARSS 2024.
[C51] Ningli Xu^, Rongjun Qin. Large-scale DSM registration via motion averaging. ISPRS Technical Commission I Mid-term Symposium 2024. (Best paper Award)
[C50] Shengxi Gui^, Phillip Schuegraf, Ksenia Bittner, Rongjun Qin. Unit-level LoD2 Building Reconstruction from Satellite Derived Digital Surface Model and Orthophoto. ISPRS Technical Commission II Mid-term Symposium 2024.
[C49] Shuang Song^, Luca Morelli, Xinyi Wu^, Rongjun Qin, Hessah Albanwan, Fabio Remondino. Evaluating Learning-based Tie Point Matching for Geometric Processing of Off-Track Satellite Stereo. ISPRS Technical Commission II Mid-term Symposium 2024.
[C48] Shengxi Gui^, Rongjun Qin. Using PlanetScope-Derived Elevation Models to Track Surging Glacier 3D Dynamics in Mid-Latitude Mountain Regions. AGU 2023. (pdf).
[C47] Francesco Nex, N. Zhang, Fabio Remondino, Elisa Mariarosaria Farella, Rongjun Qin, and Ci Zhang^. BENCHMARKING THE EXTRACTION OF 3D GEOMETRY FROM UAV IMAGES WITH DEEP LEARNING METHODS. 2nd GEOBENCH Workshop on Evaluation and BENCHmarking of Sensors, Systems and GEOspatial Data in Photogrammetry and Remote Sensing. Volume XLVIII-1/W3-2023, 2023. (link)
[C46] Elisa Mariarosaria Farella, Fabio Remondino, Conor Cahalane, Rongjun Qin, A. M. Loghin, M. Di Tullio, Nobert Haala, and J. Mills. GEOMETRIC PROCESSING OF VERY HIGH-RESOLUTION SATELLITE IMAGERY: QUALITY ASSESSMENT FOR 3D MAPPING NEEDS. 2nd GEOBENCH Workshop on Evaluation and BENCHmarking of Sensors, Systems and GEOspatial Data in Photogrammetry and Remote Sensing. Volume XLVIII-1/W3-2023, 2023. (link)
[C45] Debao Huang^, Rongjun Qin. A critical analysis of internal reliability for uncertainty quantification of dense image matching in multi-view stereo. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023.
[C44] Ying Zuo, C.K. Shum, Rongjun Qin, Yuanyuan Jia, Guixiang Zhang^ and Shengxi Gui^. Pan-India Land Use Land Cover Deep Learning Aided Classification Using NICFI Products. American Geophysical Union Fall Meeting, Chicago, USA, December 16, 2022. (link)
[C43] Fabio Remondino, Luca Morelli, Elisavet Konstantina Stathopoulou, Mostafa Elhashash^, and Rongjun Qin (2022). Aerial Triangulation with Learning-based Tie Points. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. (link) [Best poster award]
[C42] Shengxi Gui^, Rongjun Qin, Yang Tang^. (2022). Sat2lod2: A Software For Automated Lod-2 Modeling From Satellite-Derived Orthophoto And Digital Surface Model. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. (arxiv,link)
[C41] Mostafa Elhashash^, Rongjun Qin (2022). Investigating Spherical Epipolar Rectification for Multi-View Stereo 3D Reconstruction. ISPRS Annals Photogramm. Remote Sens. Spatial Inf. Sci. (arxiv,link)
[C40] Debao Huang^, Mostafa Elhashash^, Rongjun Qin. (2022). Constrained Bundle Adjustment for Structure from Motion using Uncalibrated Multi-Camera Systems. ISPRS Annals Photogramm. Remote Sens. Spatial Inf. Sci. (arxiv,link).
[C39] Shuang Song^, Rongjun Qin (2022). A Novel Intrinsic Image Decomposition Method to Recover Albedo for Aerial Images in Photogrammetry Processing. ISPRS. Annals. Photogramm. Remote Sens. Spatial Inf. Sci. (arxiv,link)
[C38] Hessah Albanwan^, Rongjun Qin (2022). Fine-Tuning Deep Learning Models for Stereo Matching Using Results From Semi-Global Matching. ISPRS. Annals. Photogramm. Remote Sens. Spatial Inf. Sci. (arxiv,link)
[C37] Hessah Albanwan^ , Rongjun Qin (2021). Adaptive and Non-adaptive Fusion Algorithms Analysis for Depth Maps Generated using Census and Convolutional Neural networks (MC-CNN). XXIV ISPRS Congress. (link).
[C36] Huijun Chen^, Changlin Xiao^, Wei Liu^, Rongjun Qin (2020). Large-scale land cover mapping of satellite images using Ensemble of Random Forest with Multi-resolution Label – IEEE Data Fusion Contest 2020 Track – 2. IEEE International Geoscience and Remote Sensing Symposium 2020, Hawaii, US. (link)
[C35] Huijun Chen^, Wei Liu^, Changlin Xiao^, Rongjun Qin (2020). Large-scale land cover mapping of satellite images using Ensemble of Random Forest – IEEE Data Fusion Contest 2020 Track – 1. IEEE International Geoscience and Remote Sensing Symposium 2020, Hawaii, US. (link)
[C34] Hessah Albanwan^, Rongjun Qin (2020). Enhancement of depth map by fusion using adaptive and semantic-guided spatiotemporal filtering. ISPRS. Annals. Photogramm. Remote Sens. Spatial Inf. Sci. 3, 227-232.(link).
[C33] Shuang Song^, Rongjun Qin (2020). Optimizing mesh reconstruction and texture mapping generated from a combined side-view and over-view imagery. ISPRS. Annals. Photogramm. Remote Sens. Spatial Inf. Sci. 2, 403-409 (link).
[C32] Rongjun Qin, Shuang Song^, Xu Huang^ (2020). 3D data generation using low-cost cross-view images. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 43, 157-162. (link).
[C31] Rongjun Qin, Chiman Kwan and Bulent Ayhan (2020). Generation of stereo images for Mastcam imagers. Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXVI, Vol. 11392, p. 1139207 (link)
[C30] Armin Gruen, Simon Schubiger, Rongjun Qin, Gerhard Schrotter, Biao Xiong, Jiaqiang Li, Xiao Ling, Changlin Xiao^, Sidan Yao, Fiona Nuesch (2019), Semantically Enriched High Resolution LoD 3 Building Model Generation, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 2019. (link)
[C29] Rongjun Qin (2019), An Operational Pipeline for Generating Digital Surface Models from Multi-Stereo Satellite Images for Remote Sensing Applications. 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, July 28- August 2. (pp. 5960-5963). (link)
[C28] Changlin Xiao^, Rongjun Qin, Xiao Ling^ and Hanning Yuan (2019), Urban Land-Cover Classification with Facade Feature from Oblique Images. 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, July 28- August 2.(pp. 5944-5947). (link)
[C27] Wei Liu^ and Rongjun Qin (2019), Unsupervised transfer learning using for multi-model remote sensing data classification. 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, July 28- August 2. (pp. 636-639) (link)
[C26] Rongjun Qin, Xu Huang^, Wei Liu^ and Changlin Xiao^ (2019), Pairwise Stereo Image Disparity and Semantics Estimation with the Combination of U-NET and Pyramid Stereo Matching Network. 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, July 28- August 2. (pp. 4971-4974) (link)
[C25] Rongjun Qin, Xu Huang^, Wei Liu^ and Changlin Xiao^ (2019), Semantic 3D Reconstruction Using Multi-view High-resolution Satellite Images based on U-NET and Image-guided Depth Fusion. 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, July 28- August 2. (pp. 5057-5060) (link)
[C24] Bihe Chen^, Rongjun Qin, Xu Huang^, Wei Liu^, Shuang Song^, Yilong Han^ and Xiaohu Lu^ (2019), A Comparison of Stereo-Matching Cost Between a Convolutional Neural Network and Census for Satellite Images. ASPRS Annual Conference 2019, Denver, Jan 28-30. (arxiv,link)
[C23] Xiaohu Lu^, Rongjun Qin, and Xu Huang^ (2019). Using Orthophoto for Object Boundary Sharpening In Digital Surface Models. ASPRS Annual Conference 2019, Denver, Jan 28-30. (arxiv)
[C22] Xu Huang^ and Rongjun Qin, (2019). Multi-View Large-Scale Bundle Adjustment Method for Very High-Resolution Satellite Images. ASPRS Annual Conference 2019, Denver, Jan 28-30. (arxiv,link)
[C21] Changlin Xiao^, Rongjun Qin, Xu Huang^ and Jiaqiang Li (2018). The Study of Using Fully Convolutional Network for Tree Top Detection on Remote Sensing Data. ISPRS Technical Commission I Symposium, 9 – 12 October 2018, Karlsruhe, Germany (pdf)
[C20] Xu Huang^, Rongjun Qin and Min Chen (2018). Disparity Refinement of Building Edges Using Robustly Matched Straight Lines for Stereo Matching. ISPRS Technical Commission I Symposium, 9 – 12 October 2018, Karlsruhe, Germany (link)
[C19] Jiaojiao Tian, Jean Dezert and Rongjun Qin (2018). Time-series 3D Building Change based on Belief Functions. Fusion 2018. Cambridge, United Kingdom, July 10-13, 2018. (pp. 1-5) (link) – included in Advances and Applications of DSmT for Information Fusion, collected works Vol. 5 – Editors (Florentin Smarandache, Jean Dezert, Albena Tchamova)
[C18] Changlin Xiao^, Rongjun Qin and Xu Huang^ (2018). Individual tree detection from multi-view satellite images. IGARSS 2018. Valencia, Spain, July 22-27, 2018. (pp. 3967-3970) (link)
[C17] Wei Liu^, Rongjun Qin , Fulin Su and Kun Hu^ (2018). An Unsupervised Domain Adaptation Method for Multi-Modal Remote Sensing Image Classification. CPGIS 2018. Kunming, China, June 28-30, 2018. (pp. 1-5) (Best student paper 3rd place) (link)
[C16] Rongjun Qin (2018). Analysis of critical parameters of satellite stereo images for 3D reconstruction and mapping. ASPRS Annual Conference 2018. Denver, Colorado, USA, February 5-7, 2018. (arxiv)
[C15] Xu Huang^, Rongjun Qin, Qing Wan and Kun Hu^ (2018). Image-guided dense matching for super-resolution of laser range data. ASPRS Annual Conference 2018. Denver, Colorado, USA, February 5-7, 2018.
[C14] Kun Hu^, Yongjun Zhang, Rongjun Qin and Xu Huang^ (2018). Block adjustment method for optical satellite on-orbit geometric calibration. ASPRS Annual Conference 2018. Denver, Colorado, USA, February 5-7, 2018.
[C13] Rongjun Qin (2017). Automated 3D recovery from very high resolution multi-view images Overview of 3D recovery from multi-view satellite images. ASPRS Conference (IGTF) 2017. Baltimore, Maryland, USA, March 12-16, 2017. (pdf)
[C12] Rongjun Qin (2016). RPC Stereo Processor (RSP) –A software package for digital surface model and orthophoto generation from satellite stereo imagery. International Annals of the Photogram., Remote Sens. & Spatial Information Sci. ISPRS Congress 2016. Prague, Czech Republic, July 11-19, 2016. 3, 77. (pdf)
[C11] Jiaojiao Tian, Rongjun Qin, Daniele. Cerra and Peter Reinartz (2016). Building change detection in very high resolution satellite stereo image time series. International Annals of the Photogram., Remote Sens. & Spatial Information Sci. ISPRS Congress 2016. Prague, Czech Republic, July 11-19, 2016. 3, 149-155. (pdf)
[C10] Yazid Ninsalam, Rongjun Qin and Joerg Rekittke (2016). Application for 3D Scene understanding in detecting discharge of domestic waste along complex urban rivers. International Arch. of the Photogram., Remote Sens. & Spatial Information Sci. ISPRS Congress 2016. Prague, Czech Republic, July 11-19, 2016. (pdf)
[C9] Georg Kuschk, Pablo d’Angelo, Rongjun Qin, Daniela Poli, Peter Reinartz, Daniel Cremers (2014). DSM Accuracy Evaluation for the ISPRS Commision I Image Matching Benchmark. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences XL-1, 195-200. ISPRS Technical Commission I Symposium, 17 – 20 November 2014, Denver, Colorado, USA (pdf).
[C8] Rongjun Qin, Armin Gruen, Clive Fraser (2014). Quality Assessment of Image Matchers For DSM Generation – A Comparative Study Based on UAV Images. Asian Conference on Remote Sensing. 27-31 October 2014, Nay Pyi Taw, Myanmar (pdf).
[C7] Rongjun Qin, Armin Gruen (2014). A Supervised Method for Object-based 3D Building Change Detection on Aerial Stereo Images. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, XL-3, 259-264. Photogrammetric Computer Vision Workshop, September, 5-7, Zurich, Switzerland. (link)
[C6] Armin Gruen Xianfeng Huang, Rongjun Qin, Tangwu Du, Wei Fang, Joao Boavida, Adriano Oliveira(2013). JOINT PROPCESSING OF UAV IMAGERY AND TERRESTRIAL MOBILE MAPPING SYSTEM DATA FOR VERT HIGH RESOLUTION CITY MODELLING, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-1/W2, 201, 4 – 6 September 2013, Rostock, Germany. (pdf)
[C5] HUANG, Xianfeng, Armin Gruen, Rongjun QIN, Tangwu Du and Wei Fang (2013). ‘Integration of Mobile Laser Scanning Data with UAV Imagery for Very High Resolution 3D City Modeling’, paper presented at The International Symposium on Mobile Mapping Technology 2013, Tainan. (pdf)
[C4] Rongjun Qin, Armin Gruen and Xianfeng Huang (2012). ‘UAV PROJECT – BUILDING A REALITY-BASED 3D MODEL OF THE NUS (NATIONAL UNIVERSITY OF SINGAPORE) CAMPUS’, in Proceeding of the 33rd Asian Conference on Remote Sensing, paper presented at Asian Conference on Remote Sensing, Pattaya, Thailand. (pdf)
[C3] Moosavi, Seyed Vahid, and Qin Rongjun (2012). “A New Automated Hierarchical Clustering Algorithm Based on Emergent Self Organizing Maps.” 16th IEEE International Conference on Information Visualisation (IV). (pdf)
[C2] Rongjun Qin, Jianya Gong, and Chong Fan (2010). “Multi-frame Image super-resolution based on knife-edges.” 2010 IEEE 10th International Conference on Signal Processing (ICSP). (pdf)
[C1] Xueshuang Xiang , Jinjiang Lei , Yan Chen, Rongjun Qin, Guiying Ni and Xiufen Zou, “Improved Kinetic Model of Short Term EGFR Signaling Network”. Proceedings of the 6th Conference of Biomathematics 2007, Tai’an, P.R. China, July. 25-28„ PEOPLES R CHINA: World Acad Union-World Acad Press. p. 674-678 (pdf)
Conference Abstracts & Presentations [CP]
[CP3] Shum, C K, Soumitri Das, Joyce Chen, Yuanyuan Jia, Junyi Guo, Sam Malloy, Daniela A. Miteva, Tom Darrah, John Horack, Peter H. Luk, Yu Zhang, Vibhor Agarwal, Orhan Akyilmaz, Kazim Atman, Ruchi Badola, Ratnesh Bhattacharya, Xiaobin Cai, Ehsan Forootan, Manoj Kumar, Priya Kurle, Steve Lee, Joseph Mascaro, Rongjun Qin, Tajdarul Hassan Syed, Yang Tang^, Metehan Uz, Towards Indian Forest Sustainability: Satellite-Based Ecological and Nature Hazards Monitoring, International Association of Geodesy Scientific Assembly, Beijing, China, June 28–July 2, 2021.
[CP2] Rongjun Qin (2021). Modernizing Very High-Resolution Spaceborne Remote Sensing Applications with 3D. ASPRS Annual Conference.
[CP1] Zhang^, S.; Shapiro, N.; Gehrke, G.; Castner, J.; Liu, Z.; Guo, B.; Zhang, J.; Haines, S.; Kormos, D.; Frey, P.; Qin, R.; Dannemiller, K. (2018). Development of a smartphone-based app for determination of formaldehyde concentration, Indoor Air 2018.