IGARSS 2026 || Washington, D.C. || 9

TU1.R13: Deep Learning for Classification

Oral

Tue, 11 Aug, 08:30 - 09:45

Location: TBD

Session Type: Oral

Track: Theory and Techniques

Tue, 11 Aug, 08:30 - 08:45

TU1.R13.1: Deep Linear Discriminant Analysis with Discriminative NLL Loss for Remote Sensing Tasks

Arman Bolatov, National Center of Space Research and Technology, United Arab Emirates; Rustem Kaliyev, Amantay Nurlanuly, Nazarbayev University, Kazakhstan; Zhenisbek Assylbekov, National Center of Space Research and Technology, United States

Tue, 11 Aug, 08:45 - 09:00

TU1.R13.2: A SELF-CONSISTENT APPROACH TO HIERARCHICAL REMOTE SENSING IMAGE CLASSIFICATION

Giulio Weikmann, Gianmarco Perantoni, Lorenzo Bruzzone, University of Trento, Italy

Tue, 11 Aug, 09:00 - 09:15

TU1.R13.3: A MODALITY-AWARE FUSION NETWORK FOR LAND COVER CLASSIFICATION

Huiting Li, Jingru Zhu, Tianyi Xu, Jie Chen, Central South University, China

Tue, 11 Aug, 09:15 - 09:30

TU1.R13.4: WE-MAMBA: A MAMBA-ENHANCED U-NET FOR WEAK EARTHQUAKE DETECTION AND PHASE PICKING

Chenglin Jiang, Tong Sheng, Yadi Wang, Fei Han, Yiming Han, Southwest University of Science and Technology, China; Jinfu Li, School of Optics and Photonics, Beijing Institute of Technology, China

Tue, 11 Aug, 09:30 - 09:45

TU1.R13.5: IMPROVED KNOWLEDGE DISTILLATION FOR LAND-USE IMAGE CLASSIFICATION

Arundhuti Sur, Abhiroop Chatterjee, Susmita Ghosh, Jadavpur University, India; Emmett Ientilucci, Rochester Institute of Technology, United States