74 citations · 77 across the 5 of their papers we have counts for
5 papers
Information transmission: Inferring change area from change moment in time series remote sensing images
Jialu Li, Chen Wu, Meiqi Hu
Time series change detection is a critical task for exploring ecosystem dynamics using time series remote sensing images, because it can simultaneously indicate where and when chan…
MergeSAM: Unsupervised change detection of remote sensing images based on the Segment Anything Model
Meiqi Hu, Lingzhi Lu, Chengxi Han +1
Recently, large foundation models trained on vast datasets have demonstrated exceptional capabilities in feature extraction and general feature representation. The ongoing advancem…
HSANET: A Hybrid Self-Cross Attention Network For Remote Sensing Change Detection
Chengxi Han, Xiaoyu Su, Zhiqiang Wei +2
The remote sensing image change detection task is an essential method for large-scale monitoring. We propose HSANet, a network that uses hierarchical convolution to extract multi-s…
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model
Di Wang, Meiqi Hu, Yao Jin +19
Accurate hyperspectral image (HSI) interpretation is critical for providing valuable insights into various earth observation-related applications such as urban planning, precision…
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…