Technical Program: Paper Detail || IEEE IGARSS 2023 || Pasadena, California, USA || 16

WE2.R17.1

IMPLEMENTATION OF EXPLAINABLE AI TO MAP HIERARCHICAL HABITAT SELECTION IN BIRDS

Akash Anand, Volker C Radeloff, Anna Pidgeon, Ryan Buron, Elena Razenkova, University of Wisconsin-Madison, United States; Jennifer Timmer, Bird Conservancy of the Rockies, United States

Session:

WE2.R17: Opening the Black Box: Explainable AI/ML in Remote Sensing Analysis II Oral

Location:

Room 212/214

Presentation Time:

Wed, 19 Jul, 10:15 - 10:27 Pacific Time (UTC -8)

Session Co-Chairs:

Amanda Ziemann, Los Alamos National Laboratory and Eric Flynn, Los Alamos National Laboratory

Session Manager:

Al Adil Al Hinai

Session WE2.R17

WE2.R17.1: IMPLEMENTATION OF EXPLAINABLE AI TO MAP HIERARCHICAL HABITAT SELECTION IN BIRDS

Akash Anand, Volker C Radeloff, Anna Pidgeon, Ryan Buron, Elena Razenkova, University of Wisconsin-Madison, United States; Jennifer Timmer, Bird Conservancy of the Rockies, United States

WE2.R17.2: QUANTIFYING THE ROBUSTNESS OF MODELS FOR SAR IMAGES CLASSIFICATION BY EXPLAINABLE FEATURE ATTRIBUTION

Wenxian Yu, Shanghai Jiaotong University, China; Weiwei Guo, Tongji University, China; Jing Li, Academy military sciences, China; Tao Zhang, Shanghai Jiaotong University, China

WE2.R17.3: CREDIBLE RECOGNITION OF RADAR IMAGES: INTERPRETABILITY METRIC AND CLASSIFICATION SCORE

Amir Hosein Oveis, Radar and Surveillance Systems (RaSS) Laboratory- CNIT, Italy; Elisa Giusti, Radar and Surveillance Systems (RaSS) Laboratory- CNIT, Italy; Selenia Ghio, Radar and Surveillance Systems (RaSS) Laboratory- CNIT, Italy; Giulio Meucci, Marco Martorella, Radar and Surveillance Systems (RaSS) Laboratory-CNIT, Italy

WE2.R17.4: TOWARDS EXPLAINABLE AI4EO: AN EXPLAINABLE DEEP LEARNING APPROACH FOR CROP TYPE MAPPING USING SATELLITE IMAGES TIME SERIES

Adel Abbas, Michele Linardi, Etienne Vareille, CY Cergy Paris Université, France; Vassillis Christophides, ENSEA Cergy, France; Claudia Paris, University of Twente,, Netherlands

WE2.R17.5: WILDFIRE DANGER FORECASTING WITH DEEP LEARNING UNDER LABEL NOISE

Spyros Kondylatos, Ioannis Prapas, National Observatory of Athens, University of Valencia, Greece; Ioannis Papoutsis, National Observatory of Athens, Greece; Gustau Camps-Valls, University of Valencia, Spain