Change detection (CD) is one of the important research topics in remote sensing (RS) image
processing. Recently, convolutional neural networks (CNNs) have dominated the RSCD …

Building change detection (BuCD) can offer fundamental data for applications such as urban
planning and identifying illegally-built new buildings. With the development of deep neural …

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 …

Change detection in the hyperspectral imagery (HSI) detects the changed pixels or areas in
bitemporal images. HSIs contain hundreds of spectral bands, including a large amount of …

With the rapid advancement in remote sensing Earth observation technology, an abundance
of Time Series multispectral remote sensing Images (TSIs) from platforms like Landsat and …

Deep learning (DL) has been introduced to change detection (CD) due to its powerful
feature representation and robust generalization abilities. However, the application of large …

Change detection is an important application of remote sensing image interpretation, which
identifies changed areas of interest from a pair of bi-temporal remote sensing images …

With the rapid expansion of urbanization, it is imperative to monitor built-up areas changes
to promote the sustainable development of cities, aligning with the goals of Sustainable …

The up-to-date building information is significant to urban planning and economic
assessment. Automatic building change detection (BCD) from bi-temporal remote sensing …

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