MO3.R4.2

Introducing SpaceNet 9 - Cross-modal Satellite Imagery Registration for Natural Disaster Responses

Ronny Hänsch, German Aerospace Center (DLR), Germany; Jacob Arndt, Philipe Dias, Abhishek Potnis, Dalton Lunga, Oak Ridge National Laboratory, United States; Desiree Petrie, Maxar Intelligence, United States; Todd M. Bacastow, GRSS-IEEE, United States
Session:
MO3.R4: Datasets and Benchmarking in Remote Sensing: Towards Large-Scale, Multi-Modality and Sustainability I Oral
Track:
Community-Contributed Sessions
Location:
Conference Hall 1
Presentation Time:
Mon, 8 Jul, 13:54 - 14:08
Session Co-Chairs:
Kaiqiang Chen, Aerospace Information Research Institute, Chinese Academy of Sciences and Francescopaolo Sica, University of the Bundeswehr Munich
Presentation
Discussion
Resources
No resources available.
Session MO3.R4
MO3.R4.1: BUILDING ATTRIBUTES RECOGNITION WITH NOISY AND INCOMPLETE LABELS
Ziqi Gu, Zhaiyu Chen, Yilei Shi, Xiao Xiang Zhu, Technical University of Munich, Germany
MO3.R4.2: Introducing SpaceNet 9 - Cross-modal Satellite Imagery Registration for Natural Disaster Responses
Ronny Hänsch, German Aerospace Center (DLR), Germany; Jacob Arndt, Philipe Dias, Abhishek Potnis, Dalton Lunga, Oak Ridge National Laboratory, United States; Desiree Petrie, Maxar Intelligence, United States; Todd M. Bacastow, GRSS-IEEE, United States
MO3.R4.3: Sen2Fire: A Challenging Benchmark Dataset for Wildfire Detection using Sentinel Data
Yonghao Xu, Amanda Berg, Leif Haglund, Linköping University, Sweden
MO3.R4.4: GBSS: A GLOBAL BUILDING SEMANTIC SEGMENTATION DATASET FOR LARGE-SCALE REMOTE SENSING BUILDING EXTRACTION
Yuping Hu, Xin Huang, Jiayi Li, Zhen Zhang, Wuhan University, China
MO3.R4.5: MAGICBATHYNET: A MULTIMODAL REMOTE SENSING DATASET FOR BATHYMETRY PREDICTION AND PIXEL-BASED CLASSIFICATION IN SHALLOW WATERS
Panagiotis Agrafiotis, Technische Universität Berlin, Germany; Łukasz Janowski, Gdynia Maritime University, Poland; Dimitrios Skarlatos, Cyprus University of Technology, Cyprus; Begüm Demir, Technische Universität Berlin, Germany
MO3.R4.6: Data on Demand: Automatic Generation of Customized Datasets for the Training of Building Detection in Remote Sensing Imagery
Hai Huang, Kevin Hild, Universität der Bundeswehr München, Germany; Yixuan Wang, Marco Körner, Technical University of Munich, Germany; Helmut Mayer, Universität der Bundeswehr München, Germany
MO3.R4.7: WEAK LABELING FOR CROPLAND MAPPING IN AFRICA
Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Microsoft AI for Good Research Lab, Kenya; Stephen Wood, The Nature Conservancy, United States
Resources
No resources available.