TH1.M1: Image Classification: Datasets, Products, and Applications
Thursday, 7 August, 08:00 - 09:15
Location: Room M1
Session Type: Oral
Track: Data Analysis
Thu, 7 Aug, 08:00 - 08:15

TH1.M1.1: EUROPEAN UNION CROP MAP 2022: EARTH OBSERVATION'S 10-METER DIVE INTO EUROPE'S CROP TAPESTRY
Babak Ghassemi, Emma Izquierdo-Verdiguier, University of Natural Resources and Life Sciences, Vienna, Austria; Astrid Verhegghen, Joint Research Centre, European Commission, Italy; Momchil Yordanov, SEIDOR Consulting S.L., Spain; Guido Lemoine, Joint Research Centre, European Commission, Austria; Álvaro Moreno Martínez, Universitat de València, Spain; Davide De Marchi, Marijn van der Velde, Joint Research Centre, European Commission, Italy; Francesco Vuolo, University of Natural Resources and Life Sciences, Vienna, Austria; Raphaël d’Andrimont, Joint Research Centre, European Commission, Italy
Thu, 7 Aug, 08:15 - 08:30

TH1.M1.2: Robust Deep Learning for Cereal Crop Classification with Noisy Training Labels
Meziane Iftene, Mohammed El Amin Larabi, Algerian Space Agency, Algeria
Thu, 7 Aug, 08:30 - 08:45

TH1.M1.3: ITC-Based Tree species Classification from Very High-Resolution UAV Images
Mareike Weishaupt, German Aerospace Center (DLR), Germany; Wen Fan, Technical University of Munich, Germany; Jonas Troles, University of Bamberg, Germany; Jiaojiao Tian, German Aerospace Center (DLR), Germany
Thu, 7 Aug, 08:45 - 09:00

TH1.M1.4: Point Cloud Segmentation for Post-Disaster Scenarios: The DebrisPC Dataset and Benchmark
Jiaheng Lu, Yutong Wang, Hideomi Gokon, Japan Advanced Institute of Science and Technology, Japan
Thu, 7 Aug, 09:00 - 09:15

TH1.M1.5: Ensemble Learning for Urban Flood Segmentation Through the Fusion of Multi-Spectral Satellite Data with Water Spectral Indices Using Row-Wise Cross Attention
Han Xu, Alan Woodley, Queensland University of Technology, Australia