23 citations · 34 across the 9 of their papers we have counts for
5 papers · 1 filter
GLRT-Based Metric Learning for Remote Sensing Object Retrieval
Linping Zhang, Yu Liu, Xueqian Wang +2
With the improvement in the quantity and quality of remote sensing images, content-based remote sensing object retrieval (CBRSOR) has become an increasingly important topic. Howeve…
Lightweight Change Detection in Heterogeneous Remote Sensing Images with Online All-Integer Pruning Training
Chengyang Zhang, Weiming Li, Gang Li +4
Detection of changes in heterogeneous remote sensing images is vital, especially in response to emergencies like earthquakes and floods. Current homogenous transformation-based cha…
The Road to On-board Change Detection: A Lightweight Patch-Level Change Detection Network via Exploring the Potential of Pruning and Pooling
Lihui Xue, Zhihao Wang, Xueqian Wang +1
Existing satellite remote sensing change detection (CD) methods often crop original large-scale bi-temporal image pairs into small patch pairs and then use pixel-level CD methods t…
NN-Copula-CD: A Copula-Guided Interpretable Neural Network for Change Detection in Heterogeneous Remote Sensing Images
Weiming Li, Xueqian Wang, Gang Li +2
Change detection (CD) in heterogeneous remote sensing images has been widely used for disaster monitoring and land-use management. In the past decade, the heterogeneous CD problem…
MCTNet: A Multi-Scale CNN-Transformer Network for Change Detection in Optical Remote Sensing Images
Weiming Li, Lihui Xue, Xueqian Wang +1
For the task of change detection (CD) in remote sensing images, deep convolution neural networks (CNNs)-based methods have recently aggregated transformer modules to improve the ca…