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2024 IEEE International Geoscience and Remote Sensing Symposium
“Acting for Sustainability and Resilience”
7 - 12 July, 2024 • Athens, Greece
Previous
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Technical Program
Session TH1.R1
Paper TH1.R1.6
TH1.R1.6
TIME-GUIDED NETWORK FOR REMOTE SENSING CHANGE DETECTION
Tingrui Zhang, Xu Tang, Xiangrong Zhang, Jingjing Ma, Xidian University, China; Fang Liu, Nanjing University of Science and Technology, China; Cheng Zhu, Licheng Jiao, Xidian University, China
Session:
TH1.R1: Temporal Data Analysis: Deep Learning Methods for Change Detection I
Oral
Track:
Data Analysis
Location:
Trianti
Presentation Time:
Thu, 11 Jul, 10:10 - 10:24
Session Chair:
Stefania Matteoli, National Research Council (CNR)
Presentation
Discussion
Resources
No resources available.
Session TH1.R1
TH1.R1.1: A LIGHTWEIGHT PATCH-LEVEL CHANGE DETECTION NETWORK VIA EXPLORING THE POTENTIAL OF PRUNING AND MULTI-SCALE POOLING
Lihui Xue, Xueqian Wang, Zhihao Wang, Linping Zhang, Gang Li, Tsinghua University, China
TH1.R1.2: CHANGE DETECTION IN DUAL-TEMPORAL REMOTE SENSING DATA BASED ON A LIGHTWEIGHT SIAMESE NETWORK WITH EFFECTIVE PREPROCESSING
Yankun Huang, Harbin Institute of Technology, China; Maosheng Wei, Baoyu Ge, Harbin Space Star Data System Techology Co., Ltd, China; Yun Zhang, Zhenyuan Ji, Harbin Institute of Technology, China
TH1.R1.3: MULTI-TASK CHANGE DETECTION NETWORK FOR REMOTE SENSING IMAGES BASED ON FEATURE SYMMETRY ENHANCED FUSION
Mingheng Zhang, Lei He, Chengdu University of Information Technology, China; Yuxia Li, Zhonggui Tong, Jinglin Zhang, University of Electronic Science and Technology of China, China
TH1.R1.4: PIXEL-LEVEL CHANGE DETECTION PSEUDO-LABEL LEARNING FOR REMOTE SENSING CHANGE CAPTIONING
Chenyang Liu, Keyan Chen, Zipeng Qi, Zili Liu, Haotian Zhang, Zhengxia Zou, Zhenwei Shi, Beihang University, China
TH1.R1.5: SemiJointNet: A Semi-Supervised Building Change Detection Method Based On Joint Learning
Hao Chen, Chengzhe Sun, Jun Li, Chun Du, National University of Defense Technology, China
TH1.R1.6: TIME-GUIDED NETWORK FOR REMOTE SENSING CHANGE DETECTION
Tingrui Zhang, Xu Tang, Xiangrong Zhang, Jingjing Ma, Xidian University, China; Fang Liu, Nanjing University of Science and Technology, China; Cheng Zhu, Licheng Jiao, Xidian University, China
TH1.R1.7: CHANGEBIND: A HYBRID CHANGE ENCODER FOR REMOTE SENSING CHANGE DETECTION
Mubashir Noman, MBZUAI, United Arab Emirates; Mustansar Fiaz, IBM Research, United Arab Emirates; Hisham Cholakkal, MBZUAI, United Arab Emirates
Resources
No resources available.