178 citations · 236 across the 4 of their papers we have counts for
4 papers
Tri-path DINO: Feature Complementary Learning for Remote Sensing Multi-Class Change Detection
Kai Zheng, Hang-Cheng Dong, Shoulei Liu +5
In remote sensing imagery, multi-class change detection (MCD) is crucial for fine-grained monitoring, yet it has long been plagued by feature ambiguity in change regions, which obs…
S2C: Learning Noise-Resistant Differences for Unsupervised Change Detection in Multimodal Remote Sensing Images
Lei Ding, Xibing Zuo, Danfeng Hong +4
Unsupervised Change Detection (UCD) in multimodal Remote Sensing (RS) images remains a difficult challenge due to the inherent spatio-temporal complexity within data, and the heter…
A Survey of Sample-Efficient Deep Learning for Change Detection in Remote Sensing: Tasks, Strategies, and Challenges
Lei Ding, Danfeng Hong, Maofan Zhao +6
In the last decade, the rapid development of deep learning (DL) has made it possible to perform automatic, accurate, and robust Change Detection (CD) on large volumes of Remote Sen…
Adapting Segment Anything Model for Change Detection in HR Remote Sensing Images
Lei Ding, Kun Zhu, Daifeng Peng +3
Vision Foundation Models (VFMs) such as the Segment Anything Model (SAM) allow zero-shot or interactive segmentation of visual contents, thus they are quickly applied in a variety…