TU4.M2.2
TOWARDS ROBUST VALIDATION STRATEGIES FOR EO FLOOD MAPS
Tim Landwehr, Universität Osnabrück, Germany; Antara Dasgupta, RWTH Aachen Universität, Germany; Björn Waske, Universität Osnabrück, Germany
Session:
TU4.M2: Datasets and Evaluation Protocols for Benchmarking Remote Sensing Algorithms I Oral
Track:
Community-Contributed Sessions
Location:
Room M2
Presentation Time:
Tuesday, 5 August, 16:00 - 16:15
Session Co-Chairs:
Francescopaolo Sica, University of the Bundeswehr Munich and Claudio Persello, University of Twente
Presentation
Discussion
Resources
No resources available.
Session TU4.M2
TU4.M2.1: MESA: A BENCHMARK DATASET FOR MULTI-CLASS EARTH'S SURFACE ANOMALY DETECTION IN VHR IMAGES
Boan Chen, Zhi Gao, Wei Ao, Siqi Liu, Ziyao Li, Wuhan University, China; Jinchang Ren, Robert Gordon University, United Kingdom; Qiao Wang, Beijing Normal University, China
TU4.M2.2: TOWARDS ROBUST VALIDATION STRATEGIES FOR EO FLOOD MAPS
Tim Landwehr, Universität Osnabrück, Germany; Antara Dasgupta, RWTH Aachen Universität, Germany; Björn Waske, Universität Osnabrück, Germany
TU4.M2.3: EFFECTS OF CLASS DISTRIBUTION SHIFT IN MULTI-LABEL CLASSIFICATION SPLITS: A STUDY CASE ON BIGEARTHNET
Matthieu Verlynde, Ammar Mian, Yajing Yan, Université Savoie Mont Blanc, France
TU4.M2.4: A SCALABLE FRAMEWORK FOR SATELLITE VIDEO AND ANNOTATION GENERATION BASED ON 3D FOUNDATION MODEL
Xuhui Zhao, Zhenghao Liao, Wuhan University, China; Yi Wan, Beijing Institute of Surveying and Mapping, China; Xin Wu, StepFun, China
TU4.M2.5: HEIGHT-ADAPTIVE MULTI-UAV COLLABORATIVE 3D DETECTION: A NOVEL APPROACH
Liangjin Zhao, Zhechao Wang, Ziyang Yuan, Yundu Li, Xiaodian Zhang, Aerospace Information Research Institute, Chinese Academy of Sciences, China
Resources
No resources available.