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TU1.R12.1: AN END-TO-END DEEP LEARNING CHANGE DETECTION FRAMEWORK FOR REMOTE SENSING IMAGES
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| Yi Yang; Chinese Academy of Surveying and Mapping |
| Haiyan Gu; Chinese Academy of Surveying and Mapping |
| Yanshun Han; Chinese Academy of Surveying and Mapping |
| Haitao Li; Chinese Academy of Surveying and Mapping |
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TU1.R12.2: CHANGEMASK: LEARNING PERMUTATION-INVARIANT REPRESENTATION FOR END-TO-END LULC/LAND-COVER MAPPING AND CHANGE DETECTION
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| Zhuo Zheng; Wuhan University |
| Yanfei Zhong; Wuhan University |
| Ailong Ma; Wuhan University |
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TU1.R12.3: A MULTI-SCALE AND MULTI-TEMPORAL HYPERSPECTRAL TARGET DETECTION EXPERIMENT — FROM DESIGN TO FIRST RESULTS
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| Marius Vögtli; University of Zurich |
| Simon Schreiner; Fraunhofer IOSB - Institute of Optronics, System Technologies and Image Exploitation |
| Jonas Böhler; University of Zurich |
| Wolfgang Gross; Fraunhofer IOSB - Institute of Optronics, System Technologies and Image Exploitation |
| Jannick Kuester; Fraunhofer IOSB - Institute of Optronics, System Technologies and Image Exploitation |
| Jonas Mispelhorn; Fraunhofer IOSB - Institute of Optronics, System Technologies and Image Exploitation |
| Andreas Hueni; University of Zurich |
| Wolfgang Middelmann; Fraunhofer IOSB - Institute of Optronics, System Technologies and Image Exploitation |
| Mathias Kneubühler; University of Zurich |
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TU1.R12.4: CHANGE DETECTION IN WIND-STORM DAMAGED FOREST USING RANDOM FORESTS AND ENSEMBLE MARGIN
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| Wei Feng; Xidian University |
| Samia Boukir; Bordeaux INP |
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TU1.R12.5: ASSESSING MORPHOLOGICAL CHANGES OF MEANDERING RIVERS USING UNMANNED AERIAL VEHICLES
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| Orkan Özcan; Istanbul Technical University |
| Semih Sami Akay; Yildiz Technical University |
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TU1.R12.6: BUILDING CHANGE DETECTION USING MODIFIED SIAMESE NEURAL NETWORKS
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| Sol Cummings; PASCO Corporation |
| Sho Nakamura; PASCO Corporation |
| Yasunobu Shimazaki; PASCO Corporation |
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TU1.R12.7: CSDN: A CROSS SPATIAL DIFFERENCE NETWORK FOR SEMANTIC CHANGE DETECTION IN REMOTE SENSING IMAGES
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| Kunping Yang; State Key Laboratory of LIESMARS, Wuhan University |
| Zicheng Liu; State Key Laboratory of LIESMARS, Wuhan University |
| Gui-Song Xia; State Key Laboratory of LIESMARS, Wuhan University |
| Liangpei Zhang; State Key Laboratory of LIESMARS, Wuhan University |
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TU1.R12.8: HETEROGENEOUS CHANGE DETECTION WITH SELF-SUPERVISED DEEP CANONICALLY CORRELATED AUTOENCODERS
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| Federico Figari Tomenotti; University of Genoa |
| Luigi Tommaso Luppino; UiT The Arctic University of Norway |
| Mads Adrian Hansen; UiT The Arctic University of Norway |
| Gabriele Moser; University of Genoa |
| Stian Normann Anfinsen; UiT The Arctic University of Norway |
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TU1.R12.9: GENERATING FLOOD PROBABILITY MAP BASED ON COMBINED USE OF SYNTHETIC APERTURE RADAR AND OPTICAL IMAGERY
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| MinJeong Jo; USRA/NASA-GSFC |
| Batuhan Osmanoglu; NASA Goddard Space Flight Center |
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TU1.R12.10: A NOVEL APPROACH TO UNSUPERVISED SEGMENTATION OF MULTITEMPORAL VHR IMAGES BASED ON DEEP LEARNING
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| Sudipan Saha; Fondazione Bruno Kessler |
| Lichao Mou; German Aerospace Center |
| Chunping Qiu; Technical University of Munich |
| Xiao Xiang Zhu; German Aerospace Center |
| Francesca Bovolo; Fondazione Bruno Kessler |
| Lorenzo Bruzzone; University of Trento |
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TU1.R12.11: SPARSE REPRESENTATION-BASED IMAGE FUSION FOR MULTI-SOURCE NDVI CHANGE DETECTION
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| Mengliang Zhang; Electronic Information School, Wuhan University |
| Yuerong Chen; Electronic Information School, Wuhan University |
| Song Li; Electronic Information School, Wuhan University |
| Xin Tian; Electronic Information School, Wuhan University |
