TH4.P11: Multi-source Semantic Segmentation
Thursday, 7 August, 15:45 - 17:00
Location: Room P11
Session Type: Oral
Track: Data Analysis
Thu, 7 Aug, 15:45 - 16:00

TH4.P11.1: CEASeg: Cross-modal Efficient Attention Semantic Segmentation Method for Remote Sensing Images
Huayu Zhang, Yufeng Wang, Zehao Zhang, Dacheng Qi, Wenrui Ding, Beihang University, China
Thu, 7 Aug, 16:00 - 16:15

TH4.P11.2: ON WHAT DEPENDS THE ROBUSTNESS OF MULTI-SOURCE MODELS TO MISSING DATA IN EARTH OBSERVATION?
Francisco Mena, University of Kaiserslautern-Landau, Germany; Diego Arenas, German Research Center for Artificial Intelligence (DFKI), Germany; Miro Miranda, University of Kaiserslautern-Landau, Germany; Andreas Dengel, German Research Center for Artificial Intelligence (DFKI), Germany
Thu, 7 Aug, 16:15 - 16:30

TH4.P11.3: Multisource Noise-Reduced Diffusion Feature Fusion for Hyperspectral and SAR Image Classification
Hao Liu, Yongjie Zheng, Lorenzo Bruzzone, University of Trento, Italy
Thu, 7 Aug, 16:30 - 16:45

TH4.P11.4: Multi-Frequency Graph Convolutional Network With Cross-Modality Mutual Enhancement for Multisource Remote Sensing Data Classification
Jin-yu Yang, Heng-chao Li, Jing-hua Yang, Lei Pan, Southwest Jiaotong University, China; Qian Du, Mississippi State Univerwsity, United States; Antonio Plaza, University of Extremadura, Spain
Thu, 7 Aug, 16:45 - 17:00

TH4.P11.5: VULNERABILITIES OF MULTIMODAL FUSION MODELS IN REMOTE SENSING: ANALYZING THE IMPACT OF ADVERSARIAL ATTACKS ON SPATIAL DATA CONTENT
Chaman Banolia, Tata Consultancy Services, India; Biplab Banerjee, IIT Bombay, India; Shailesh Deshpande, Tata Consultancy Services, India