FR1.R7.1: CHANGE DETECTION WITH HETEROGENEOUS REMOTE SENSING DATA: FROM SEMI-PARAMETRIC REGRESSION TO DEEP LEARNING
Gabriele Moser, University of Genoa, Italy; Stian Anfinsen, Luigi Luppino, UiT The Arctic University of Norway, Norway; Sebastiano Serpico, University of Genoa, Italy
FR1.R7.2: ADDRESSING RELIABILITY OF MULTIMODAL REMOTE SENSING TO ENHANCE MULTISENSOR DATA FUSION AND TRANSFER LEARNING
Andrea Marinoni, Saloua Chlaily, UiT The Arctic University of Norway, Norway; Christian Jutten, University of Grenoble Alpes, France
FR1.R7.3: POWER SERIES MODULE FOR SEMANTIC SEGMENTATION IN REMOTE SENSING IMAGE
Kunping Yang, Zicheng Liu, Gui-Song Xia, Liangpei Zhang, State Key Laboratory of LIESMARS, Wuhan University, China
FR1.R7.4: Filtering Internal tides from wide-swath altimeter data using Convolutional Neural Networks
Redouane Lguensat, Université Grenoble Alpes, France; Ronan Fablet, IMT Atlantique, France; Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Université Grenoble Alpes, France; Kaouther Ouenniche, Lucas Drumetz, IMT Atlantique, France; Jonathan Gula, Ifremer, France
FR1.R7.5: REFERENCE-FREE DESPECKLING OF SYNTHETIC-APERTURE RADAR IMAGES USING A DEEP CONVOLUTIONAL NETWORK
Timothy Davis, Vinit Jain, Andreas Ley, Olivier D'Hondt, Technische Universität Berlin, Germany; Sébastien Valade, German Research Centre for Geosciences (GFZ), Germany; Olaf Hellwich, Technische Universität Berlin, Germany
FR1.R7.8: Road Network and Travel Time Extraction from Multiple Look Angles with SpaceNet Data
Adam Van Etten, Jacob Shermeyer, Daniel Hogan, Nicholas Weir, Ryan Lewis, In-Q-Tel CosmiQ Works, United States