Change detection (CD) is essential in remote sensing (RS) for natural resource monitoring,
territorial planning, and disaster assessment. With the abundance of data collected by …

Monitoring changes in the Earth's surface is crucial for understanding natural processes and
human impacts, necessitating precise and comprehensive interpretation methodologies …

Change detection (CD) aims to compare and analyze images of identical geographic areas
but different dates, whereby revealing spatio-temporal change patterns of Earth's surface …

Remote sensing image change captioning (RSICC) aims to articulate the changes in objects
of interest within bitemporal remote sensing images using natural language. Given the …

Change detection, a prominent research area in remote sensing, is pivotal in observing and
analyzing surface transformations. Despite significant advancements achieved through …

Change detection, as a crucial task in the field of Earth observation, aims to identify changed
pixels between multi-temporal remote-sensing images captured at the same geographical …

The existing Remote Sensing Image Change Captioning (RSICC) methods perform well in
simple scenes but exhibit poorer performance in complex scenes. This limitation is primarily …

As one of the most destructive natural disasters, earthquakes have struck many countries
around the world in recent years, causing serious economic losses. Change detection (CD) …

Remote sensing image change captioning (RSICC) aims to describe surface changes
between multitemporal remote sensing images in language, including the changed object …

Temporal image analysis in remote sensing has traditionally centered on change detection,
which identifies regions of change between images captured at different times. However …