TU3.P6.2
UNSUPERVISED VHR SAR IMAGE CHANGE DETECTION BASED ON MULTI-SCALE ROBUST GRAPH STRUCTURE
Jingxing Zhu, Guangyao Zhou, Feng Wang, Lin Yi, Niangang Jiao, Hongjian You, Aerospace Information Research Institute, Chinese Academy of Sciences, China
Session:
TU3.P6: Data Fusion for Change Detection Oral
Track:
Data Analysis
Location:
Plaza: Room P6
Presentation Time:
Tuesday, 5 August, 13:30 - 13:45
Session Co-Chairs:
Zenghui Zhang, Shanghai Jiao Tong University and Jinchang Ren, Robert Gordon University
Session TU3.P6
TU3.P6.1: CDCHAT: A LARGE MULTIMODAL MODEL FOR REMOTE SENSING CHANGE DESCRIPTION
Mubashir Noman, Noor Ahsan, Mohamed bin Zayed University of Artificial Intelligence, United Arab Emirates; Muzammal Naseer, Khalifa University, United Arab Emirates; Hisham Cholakkal, Rao Anwer, Salman Khan, Fahad Shahbaz Khan, Mohamed bin Zayed University of Artificial Intelligence, United Arab Emirates
TU3.P6.2: UNSUPERVISED VHR SAR IMAGE CHANGE DETECTION BASED ON MULTI-SCALE ROBUST GRAPH STRUCTURE
Jingxing Zhu, Guangyao Zhou, Feng Wang, Lin Yi, Niangang Jiao, Hongjian You, Aerospace Information Research Institute, Chinese Academy of Sciences, China
TU3.P6.3: OPTISARFORMER - CHANGE DETECTION IN MULTI-SENSOR REMOTE SENSING WITH TRANSFORMER-CNN FUSION
Ankit Khivasara, Biplab Banerjee, Indian Institute of Technology Bombay, India
TU3.P6.4: DIFF-MRCD: DIFFUSION-BASED MULTI-RESOLUTION CHANGE DETECTION FOR REMOTE SENSING IMAGERY
Limeng Zhang, Zenghui Zhang, Shanghai Jiao Tong University, China; Siyuan Zhao, Air Force Communications NCO Academy, China; Tianrui Chen, Shanghai Jiao Tong University, China; Weiwei Guo, Tongji University, China; Wenxian Yu, Shanghai Jiao Tong University, China
TU3.P6.5: MSFANet: A Multi-Scale Feature Alignment Model For Optical/SAR Change Detection
YU DUAN, Kaimin Sun, Wei Cui, Tao He, Yingjiao Tan, Wuhan University, China; Heng Zhang, Tengyuan Coal Co., Ltd., China
Resources