Unsupervised remote sensing image classification with differentiable feature clustering by coupled transformer

J Song, Y Li, X Li, S Yang, J Xie… - Journal of Applied …, 2024 - spiedigitallibrary.org
The classification of high-resolution remote sensing images finds widespread applications,
yet achieving accurate classification of land types often relies heavily on labeled samples …

LiST-Net: Enhanced Flood Mapping with Lightweight SAR Transformer Network and Dimension-wise Attention

T Saleh, S Holail, M Zahran, X Xiao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Detecting flood-induced changes using synthetic aperture radar (SAR) is crucial for crisis
management and damage assessment. Nevertheless, current methodologies predominantly …

The Multi-Scale Differential Feature Optimization Networks for Remote Sensing Image Change Detection

J Wang, L Zhang - IEEE Journal of Selected Topics in Applied …, 2024 - ieeexplore.ieee.org
In the field of remote sensing, change detection in remote sensing images is vital. It is an
important tool in urban planning, land use, and resource management. By leveraging the …