“^” refers to my advisees.

Book Chapters (B)

[B2] Rongjun Qin. Change Detection for Geodatabase Updating. 3D/4D City Modeling – From Sensors to Applications. Whittles Publishing Scotland (Forthcoming).

[B1] Rongjun Qin, Xu Huang^. Geometric Processing for Image-based 3D Object Modeling. 3D/4D City Modeling – From Sensors to Applications. Whittles Publishing Scotland (Forthcoming).

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 (TC)

[J33] 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. Geometry-Aware Satellite-to-Ground Image Synthesis for Urban Areas. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2020, Seattle) (pdf).

[J32] 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)

[J31] 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. DOI: 10.1111/phor.12310.

[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)

[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)

[J25] Huang Yao, Rongjun Qin and Xiaoyu Chen (2019) Unmanned Aerial Vehicle for Remote Sensing Applications—A Review. Remote Sensing. (2019). (pdf)

[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)

[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)

[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)

[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)

[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.  DOI:10.1080/15481603.2018.1494408. (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)

[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)

[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. (available upon request)

[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)

[J13] Rongjun Qin, Jiaojiao Tian, Peter Reinartz (2016). [Review] 3D Change Detection – Approaches and Applications. ISPRS Journal of Photogrammetry and Remote Sensing. 122 (2016) 41-56. (pdf)

[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)

[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)

[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)

[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)

[J8] Rongjun Qin (2014). An Object-based Hierarchical Method for Change Detection Using Unmanned Aerial Vehicle Images.Remote Sensing6 (9), 7911-7932. (pdf)

[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)

[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 Sensing80(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).

[J4] Armin Gruen, Xianfeng Huang, Rongjun Qin, Tangwu Du, Wei Fang, Joao Boavida, Adriano Oliveira (2014). JOINT PROCESSING OF UAV IMAGERY AND TERRESTRIAL MMS DATA FOR VERY HIGH RESOLUTION 3D 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. (available upon request)

[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 Proceedings (C)

[C35] 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.

[C34] 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.

[C33] 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. 2020. ISPRS Congress (2020/2021).

[C32] 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. 2020. ISPRS Congress (2020/2021).

[C32] Rongjun Qin, Xiaohu Lu^, Shuang Song^, Xu Huang^ (2020). 3D data generation using low-cost cross-view images. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 2020. ISPRS Congress (2020/2021).

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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

[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

[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 (Best student paper 3rd place)

[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.

[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.  (Peer Reviewed) (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.  (Peer reviewed) (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.

[C6] Armin Gruen Xianfeng Huang, Rongjun Qin, Tangwu Du, Wei Fang, Joao Boavida, Adriano Oliveira(2013). JOINT PRPCESSING 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)

Trade Journals

Rongjun QIN, Armin GRUEN, Xianfeng HUANG (2012). UAV Project – building a reality-based 3D model. Coordinates (link, pdf)