IEEE GRSS
First Slide
2026 IEEE International Geoscience and Remote Sensing Symposium
9 - 14 August 2026 • Washington, D.C.
WEP2.PA: Change Detection and Temporal Analysis
Wednesday, 12 August, 15:00 - 16:15
Location: Columbia, Poster Area A
Session Type: Poster
Session Chair: Qian Du, Mississippi State University
Track: Theory and Techniques
Columbia, Poster Area A

WEP2.PA.1: Unsupervised VHR SAR IMAGE CHANGE DETECTION BASED ON MULTI-SCALE ROBUST GRAPH STRUCTURE
Jingxing Zhu, Guangyao Zhou, Feng Wang, Wenzhi Wang, Peifeng Li, Niangang Jiao, Aerospace Information Research Institute,Chinese Academy of Sciences, China
Columbia, Poster Area A

WEP2.PA.2: Frequency-aware Fusion Alignment Network for Cross-Domain Few-Shot Hyperspectral Change Detection
Tianyuan Zhou, Zijun Tan, Chuan Fu, ChongQing University, China; Tan Guo, Chongqing University of Posts, China; Fulin Luo, Chongqing University, China
Columbia, Poster Area A

WEP2.PA.3: VLCD-NET: VISUAL-LANGUAGE DRIVEN UNSUPERVISED CHANGE DETECTION FOR REMOTE SENSING IMAGES
wang zhao, Xi'an Research Institute of Navigation Technology, China; xiaokun shen, yang hu, jiaYi yang, ziNing wang, shuang wang, Xidian University, China
Columbia, Poster Area A

WEP2.PA.4: RADIOMETRIC VARIATION- AND STRIPE NOISE-ROBUST UNSUPERVISED CHANGE DETECTION FOR MULTISPECTRAL IMAGES
Neo Kobayashi, Ryosuke Isono, Shunsuke Ono, Institute of Science Tokyo, Japan
Columbia, Poster Area A

WEP2.PA.5: MASK-GUIDED MULTI-TASK LEARNING FOR REMOTE SENSING CHANGE DETECTION
xia Zhang, xiaolong zheng, Jia Liu, liang xiao, Nanjing University of science and technology, China
Columbia, Poster Area A

WEP2.PA.6: BRANCH INTERACTIVE LEARNING FOR WEAKLY SUPERVISED CHANGE DETECTION
Yangguang Liu, Fang Liu, Jia Liu, Liang Xiao, Nanjing University of Science and Technology, China
Columbia, Poster Area A

WEP2.PA.7: AN ALIGNMENT-AND-REFINEMENT NETWORK FOR REMOTE SENSING CHANGE DETECTION
Sihan Wang, Fang Liu, Nanjing University of Science and Technology, China
Columbia, Poster Area A

WEP2.PA.8: TOWARDS ROBUST URBAN CHANGE DETECTION VIA HEIGHT MAPS FROM HETEROGENEOUS SAR ACQUISITIONS
Christopher Ummerle, Michael Schmitt, University of the Bundeswehr Munich, Germany
Columbia, Poster Area A

WEP2.PA.9: KNOWLEDGE-DRIVEN TRAINING-FREE MULTIOBJECT TRACKING IN SATELLITE VIDEOS
Renjie Wang, Zhuo Liu, Guanqun Wang, Yin Zhuang, Beijing Institute of Technology, China; Tong Zhang, Peking University, China; He Chen, Yuting Shi, He Huang, Yuyue Ren, Beijing Institute of Technology, China; Jiawei Liang, Mt. San Antonio College, United States