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10 Jul 2026
Improving Building Footprint Extraction Using NAIP and 3DEP Lidar Derived Features with Deep Learning
Jung Kuan Liu, Rongjun Qin, Samantha Arundel, and Lexie Yang
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Multi-temporal surface water mapping with high-resolution elevation and image data through weakly supervised deep learning
Lawrence Stanislawski, Rongjun Qin, Jung Kuan Liu, Ethan Shavers, Shaowen Wang, Nattapon Jaroenchai, and Philip Thiem
Abstr. Int. Cartogr. Assoc., 10, 275, https://doi.org/10.5194/ica-abs-10-275-2025,https://doi.org/10.5194/ica-abs-10-275-2025, 2025
Preface: Technical Commission II (Photogrammetry)
Alper Yilmaz, Jan Dirk Wegner, and Rongjun Qin
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., XI-2-2026, 933–933, https://doi.org/10.5194/isprs-annals-XI-2-2026-933-2026,https://doi.org/10.5194/isprs-annals-XI-2-2026-933-2026, 2026
Multi-temporal surface water mapping with high-resolution elevation and image data through weakly supervised deep learning
Lawrence Stanislawski, Rongjun Qin, Jung Kuan Liu, Ethan Shavers, Shaowen Wang, Nattapon Jaroenchai, and Philip Thiem
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Investigating the New Ultracam Dragon Hybrid Aerial Mapping System
Elisa Mariarosaria Farella, Luca Morelli, Fabio Remondino, Rongjun Qin, Bernhard Schachinger, and Klaus Legat
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-6-2025, 117–125, https://doi.org/10.5194/isprs-archives-XLVIII-M-6-2025-117-2025,https://doi.org/10.5194/isprs-archives-XLVIII-M-6-2025-117-2025, 2025
Evaluating Learning-based Tie Point Matching for Geometric Processing of Off-Track Satellite Stereo
Shuang Song, Luca Morelli, Xinyi Wu, Rongjun Qin, Hessah Albanwan, and Fabio Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 393–400, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-393-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-393-2024, 2024
Large-scale DSM registration via motion averaging
Ningli Xu and Rongjun Qin
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-2024, 275–282, https://doi.org/10.5194/isprs-annals-X-1-2024-275-2024,https://doi.org/10.5194/isprs-annals-X-1-2024-275-2024, 2024
BENCHMARKING THE EXTRACTION OF 3D GEOMETRY FROM UAV IMAGES WITH DEEP LEARNING METHODS
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 123–130, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-123-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-123-2023, 2023
GEOMETRIC PROCESSING OF VERY HIGH-RESOLUTION SATELLITE IMAGERY: QUALITY ASSESSMENT FOR 3D MAPPING NEEDS
E. M. Farella, F. Remondino, C. Cahalane, R. Qin, A. M. Loghin, M. Di Tullio, N. Haala, and J. Mills
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 47–54, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-47-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-47-2023, 2023
Historical maps inform landform cognition in machine learning
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Abstr. Int. Cartogr. Assoc., 6, 10, https://doi.org/10.5194/ica-abs-6-10-2023,https://doi.org/10.5194/ica-abs-6-10-2023, 2023
AERIAL TRIANGULATION WITH LEARNING-BASED TIE POINTS
F. Remondino, L. Morelli, E. Stathopoulou, M. Elhashash, and R. Qin
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 77–84, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-77-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-77-2022, 2022
PREFACE: TECHNICAL COMMISSION II
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 7–7, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-7-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-7-2022, 2022
PREFACE: TECHNICAL COMMISSION II
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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 7–7, https://doi.org/10.5194/isprs-annals-V-2-2022-7-2022,https://doi.org/10.5194/isprs-annals-V-2-2022-7-2022, 2022