Remote sensing is a tool of interest for a large variety of applications. It is becoming
increasingly more useful with the growing amount of available remote sensing data …

Change detection (CD) in remote sensing (RS) imagery is a pivotal method for detecting
changes in the Earth's surface, finding wide applications in urban planning, disaster …

Deep learning techniques have become popular in land cover change detection (LCCD)
with remote sensing images (RSIs). However, many existing networks mostly concentrate on …

With the development of remote sensing technology, significant progress has been made in
the evaluation of the eco-environment. The remote sensing ecological index (RSEI) is one of …

Recently, CycleGAN-based methods have been widely applied to the unsupervised image
dehazing and achieved significant results. However, most existing CycleGAN-based …

Change detection (CD) using deep learning techniques is a trending topic in the field of
remote sensing; however, most existing networks require pixel-level labels for supervised …

Landslide is one of the most serious geological disasters around the world, and acquiring
landslide inventory map** (LIM) with remote-sensed images (RSIs) plays an important …

With the development of imaging systems and satellite technology, higher quality high-
resolution remote sensing (RS) images are being applied in building change detection …

Integrated with remote sensing technology, deep learning has been increasingly used for
rapid damage assessment. Despite reportedly having high accuracy, the approach requires …

Remote sensing building change detection (RSBCD) detects changes in the spatial
distribution of buildings which is of great significance for urban planning and construction …