TU1.R12.1: AN END-TO-END DEEP LEARNING CHANGE DETECTION FRAMEWORK FOR REMOTE SENSING IMAGES
Yi Yang, Haiyan Gu, Yanshun Han, Haitao Li, Chinese Academy of Surveying and Mapping, China
TU1.R12.3: A MULTI-SCALE AND MULTI-TEMPORAL HYPERSPECTRAL TARGET DETECTION EXPERIMENT — FROM DESIGN TO FIRST RESULTS
Marius Vögtli, University of Zurich, Switzerland; Simon Schreiner, Fraunhofer IOSB - Institute of Optronics, System Technologies and Image Exploitation, Germany; Jonas Böhler, University of Zurich, Switzerland; Wolfgang Gross, Jannick Kuester, Jonas Mispelhorn, Fraunhofer IOSB - Institute of Optronics, System Technologies and Image Exploitation, Germany; Andreas Hueni, University of Zurich, Switzerland; Wolfgang Middelmann, Fraunhofer IOSB - Institute of Optronics, System Technologies and Image Exploitation, Germany; Mathias Kneubühler, University of Zurich, Switzerland
TU1.R12.7: CSDN: A CROSS SPATIAL DIFFERENCE NETWORK FOR SEMANTIC CHANGE DETECTION IN REMOTE SENSING IMAGES
Kunping Yang, Zicheng Liu, Gui-Song Xia, Liangpei Zhang, State Key Laboratory of LIESMARS, Wuhan University, China
TU1.R12.8: HETEROGENEOUS CHANGE DETECTION WITH SELF-SUPERVISED DEEP CANONICALLY CORRELATED AUTOENCODERS
Federico Figari Tomenotti, University of Genoa, Italy; Luigi Tommaso Luppino, Mads Adrian Hansen, UiT The Arctic University of Norway, Norway; Gabriele Moser, University of Genoa, Italy; Stian Normann Anfinsen, UiT The Arctic University of Norway, Norway
TU1.R12.9: GENERATING FLOOD PROBABILITY MAP BASED ON COMBINED USE OF SYNTHETIC APERTURE RADAR AND OPTICAL IMAGERY
MinJeong Jo, USRA/NASA-GSFC, United States; Batuhan Osmanoglu, NASA Goddard Space Flight Center, United States
TU1.R12.10: A NOVEL APPROACH TO UNSUPERVISED SEGMENTATION OF MULTITEMPORAL VHR IMAGES BASED ON DEEP LEARNING
Sudipan Saha, Fondazione Bruno Kessler, Italy; Lichao Mou, German Aerospace Center, Germany; Chunping Qiu, Technical University of Munich, Germany; Xiao Xiang Zhu, German Aerospace Center, Germany; Francesca Bovolo, Fondazione Bruno Kessler, Italy; Lorenzo Bruzzone, University of Trento, Italy
TU1.R12.11: SPARSE REPRESENTATION-BASED IMAGE FUSION FOR MULTI-SOURCE NDVI CHANGE DETECTION
Mengliang Zhang, Yuerong Chen, Song Li, Xin Tian, Electronic Information School, Wuhan University, China