FR1.R6.1: UNSUPERVISED STEREO MATCHING NETWORK FOR VHR REMOTE SENSING IMAGES BASED ON ERROR PREDICTION
Liting Jiang, Yuming Xiang, Feng Wang, Hongjian You, Chinese Academy of Sciences, China
FR1.R6.2: COMPARING TRADITIONAL CLASSIFIERS WITH DEEP NEURAL NETWORKS ON LANDSAT-BASED LAND COVER LAND USE CLASSIFICATION
Giorgos Mountrakis, Shahriar Heydari, Atef Amriche, Gillian Avruskin, State Univ. of NY - ESF, United States
FR1.R6.3: DB-SEN1FLOODNET: A DEEP LEARNING BASED APPROACH FOR FLOOD INUNDATED REGIONS DETECTION USING SENTINEL-1 SYNTHETIC APERTURE RADAR SATELLITE DATASETS
Shubham Awasthi, Kamal Jain, Indian Institute of Technology Roorkee, India, India; Gopal Singh Parthiyal, University of Leeds, UK, United Kingdom; Sutapa Bhattacherjee, University of Sheffield, UK, United Kingdom; Alessandra Budillon, Università Degli Studi di Napoli Parthenope, Italy, Italy
FR1.R6.4: Planted: a dataset for planted forest identification from multi-satellite time series
Luis Pazos Outon, Mineral AI, United States; Cristina Nader Vasconcelos, Anton Raichuk, Anurag Arnab, Google DeepMind, Canada; Dan Morris, Google Research, United States; Maxim Neumann, Google DeepMind, Switzerland
FR1.R6.6: BEYOND SYNTHETIC LABEL NOISE: CONVNETS FOR REMOTE SENSING SCENE CLASSIFICATION ON HUMAN-ANNOTATED LABEL NOISE
Longkang Peng, The Hong Kong Polytechnic University, Hong Kong SAR of China; Tao Wei, Shenzhen University, China; Xuehong Chen, Beijing Normal University, China; Xiaobei Chen, Xiaolin Zhu, The Hong Kong Polytechnic University, Hong Kong SAR of China
FR1.R6.7: LEVERAGING EDGE DETECTION AND NEURAL NETWORKS FOR BETTER UAV LOCALIZATION
Théo Di Piazza, Thales LAS, France; Enric Meinhardt-Llopis, Gabriele Facciolo, Ecole Normale Supérieure Paris-Saclay, France; Bénédicte Bascle, Corentin Abgrall, Jean-Clément Devaux, Thales LAS, France
