Land cover change detection (LCCD) with remote sensing images is an important
application of Earth observation data because it provides insights into environmental health …

Change detection captures the spatial changes from multi temporal satellite images due to
manmade or natural phenomenon. It is of great importance in remote sensing, monitoring …

Unmanned aerial vehicle (UAV)-borne hyperspectral systems can acquire hyperspectral
imagery with a high spatial resolution (which we refer to here as H 2 imagery). As a result of …

Change detection (CD) in multitemporal images is an important application of remote
sensing. Recent technological evolution provided very high spatial resolution (VHR) …

Change detection (CD), as one of the central problems in Earth observation, has attracted a
lot of research interest over recent decades. Due to the rapid development of satellite …

Satellite images taken on the earth's surface are analyzed to identify the spatial and
temporal changes that have occurred naturally or manmade. Real-time prediction of change …

With the development of Earth observation technology, a very-high-resolution (VHR) image
has become an important data source of change detection (CD). These days, deep learning …

High spatial resolution (HSR) remote sensing images can reflect more subtle changes and
more specific types of land use and land cover (LULC) due to the abundant spatial …

High spatial resolution (HSR) remote sensing images provide detailed geometric
information about land cover. As a result, it is possible to detect more subtle changes with …

Satellite-based change detection is essential for addressing multi-objective scenarios. This
review provides a comprehensive analysis of its applications and methodologies, focusing …