Abstract Unmanned Aerial Vehicle (UAV) has seen a dramatic rise in popularity for remote-
sensing image acquisition and analysis in recent years. It has brought promising results in …

Abstract Analysis of shoreline change is fundamental to a broad range of investigations
undertaken by coastal scientists, coastal engineers, and coastal managers. Multispectral …

Deep learning-based coastline detection algorithms have begun to outshine traditional
statistical methods in recent years. However, they are usually trained only as single-purpose …

Semantic segmentation is a fundamental research in optical remote sensing image
processing. Because of the complex maritime environment, the sea-land segmentation is a …

This paper presents a semantic edge-aware multi-task neural network (SEANet) to obtain
closed boundaries when delineating agricultural parcels from remote sensing images. It …

Considering the important applications in the military and the civilian domain, ship detection
and classification based on optical remote sensing images raise considerable attention in …

Detailed and up-to-date coastline morphology data underpins our understanding of
coastline change over time. The development of an automated and scalable coastline …

Quantities of multi-temporal remote sensing (RS) images create favorable conditions for
exploring the urban change in the long term. However, diverse multi-source features and …

Image segmentation methodology is a part of nearly all computer schemes as a pre-
processing phase to excerpt more meaningful and useful information for analysing the …

Sea level rise contribution from the Antarctic ice sheet is influenced by changes in glacier
and ice shelf front position. Still, little is known about seasonal glacier and ice shelf front …