Landslides are geomorphological processes that shape the landscapes of all continents,
dismantling mountains and contributing sediments to the river networks. Caused by …

Landslide mapping is the primary step for landslide investigation and prevention. At present,
both the accuracy and the degree of automation of landslide mapping with remote sensing …

Detecting and monitoring landslides are hot topics in remote sensing community, particularly
with the development of remote sensing technologies and the significant progress of …

Monitoring water bodies by extraction using water indexes from remotely sensed images
has proven to be effective in delineating surface water against its surrounding. This study …

Earthquakes can trigger numerous landslides and cause other significant changes in the
landscape over large areas. This study presents a new processing scheme combining radar …

Segmentation and classification are two imperative, yet challenging tasks in image analysis
for remote-sensing applications. In the former, an image is divided into spatially continuous …

The precise recognition of the deformation region is of importance for the early warning of
tailings dam erosion failure. A region-growing segmentation algorithm based on the …

The deformation and displacement of landslides has always been the priority of landslide
monitoring and early warning. With the development of image processing technology in …

Abstract Machine learning methods are considered as most effective approaches to
accomplish landslide susceptibility analysis around the globe. Landslide susceptibility maps …

Automatic semantic segmentation has expected increasing interest for researchers in recent
years on multispectral remote sensing (RS) system. The agriculture supports 58% of the …