International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TH1.O-12: Machine Learning Datasets in Remote Sensing
Thu, 15 Jul, 08:30 - 10:00 (UTC)
Thu, 15 Jul, 10:30 - 12:00 Central Europe Summer Time (UTC +2)
Thu, 15 Jul, 16:30 - 18:00 China Standard Time (UTC +8)
Thu, 15 Jul, 04:30 - 06:00 Eastern Standard Time (UTC -4)
Session Co-Chairs: Michael Schmitt, Munich University of Applied Sciences and Ronny Hänsch, German Aerospace Center
Session Manager: Laurens Diels
Track: Invited Sessions

TH1.O-12.1: THERE IS NO DATA LIKE MORE DATA - CURRENT STATUS OF MACHINE LEARNING DATASETS IN REMOTE SENSING

Michael Schmitt, Munich University of Applied Sciences, Germany; Seyed Ali Ahmadi, K. N. Toosi University of Technology, Iran; Ronny Hänsch, German Aerospace Center, Germany

TH1.O-12.3: Toward Dataset Construction for Remote Sensing Image Interpretation

Yang Long, Gui-Song Xia, Wen Yang, Liangpei Zhang, Deren Li, Wuhan University, China

TH1.O-12.4: ARTIFIVE-POTSDAM: A BENCHMARK FOR LEARNING WITH ARTIFICIAL OBJECTS FOR IMPROVED AERIAL VEHICLE DETECTION

Immanuel Weber, Jens Bongartz, University of Applied Sciences Koblenz, Germany; Ribana Roscher, University of Bonn, Germany

TH1.O-12.5: RSVQA MEETS BIGEARTHNET: A NEW, LARGE-SCALE, VISUAL QUESTION ANSWERING DATASET FOR REMOTE SENSING

Sylvain Lobry, Université de Paris, France; Begüm Demir, Technische Universität Berlin, Germany; Devis Tuia, Ecole Polytechnique Fédérale de Lausanne, Switzerland

TH1.O-12.6: PREDICTING 1-H DEAD FUEL MOISTURE CONTENT AT REGIONAL SCALES USING MACHINE LEARNING FROM HIMAWARI-8 DATA

Chunquan Fan, Binbin He, University of Electronic Science and Technology of China, China; Peng Kong, Hao Xu, Qiang Zhang, Institute of Spacecraft System Engineering (ISSE), China; Xingwen Quan, University of Electronic Science and Technology of China, China