74 citations · 76 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 74 cited
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images
Chengxi Han, Chen Wu, Meiqi Hu +2
A high-precision feature extraction model is crucial for change detection (CD). In the past, many deep learning-based supervised CD methods learned to recognize change feature patt…
cs.CV2023★ 1 cited
DeepCL: Deep Change Feature Learning on Remote Sensing Images in the Metric Space
Haonan Guo, Bo Du, Chen Wu +2
Change detection (CD) is an important yet challenging task in the Earth observation field for monitoring Earth surface dynamics. The advent of deep learning techniques has recently…
cs.CV2023★ 1 cited
HCGMNET: A Hierarchical Change Guiding Map Network For Change Detection
Chengxi Han, Chen Wu, Bo Du
Very-high-resolution (VHR) remote sensing (RS) image change detection (CD) has been a challenging task for its very rich spatial information and sample imbalance problem. In this p…