Building change detection (BCD) holds significant value in the context of monitoring land
use, whereas building damage assessment (BDA) plays a crucial role in expediting …

Fully supervised change detection (CD) methods have achieved significant advancements
in performance, yet they depend severely on acquiring costly pixel-level labels. Considering …

The remote sensing image change detection methods based on deep learning have made
great progress. However, many convolutional neural network (CNN)-based methods …

Change detection is an essential fundamental task in remote sensing image analysis. Owing
to powerful deep abstract feature extraction ability, many deep learning-based change …

A near-real-time change detection network can consistently identify unauthorized
construction activities over a wide area, empowering authorities to enforce regulations …

In recent years, convolutional neural networks have achieved good results in the field of
change detection (CD) owing to their exceptional feature extraction capabilities. However …