Edge detection is one of the most important and fundamental problems in the field of
computer vision and image processing. Edge contours extracted from images are widely …

Coastlines are important basic geographic elements and map** their spatial and attribute
changes can help monitor, model and manage coastal zones. Traditional studies focused on …

The current superresolution (SR) methods based on deep learning have shown remarkable
comparative advantages but remain unsatisfactory in recovering the high-frequency edge …

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 …

This paper proposes a coastline detection method for polarimetric synthetic aperture radar
(SAR) images based on region-based and edge-based active contour models. It can be …

Despite the significant progress that was achieved throughout the recent years, to this day,
automatic change detection and classification from synthetic aperture radar (SAR) images …

Object detection in remote sensing images (RSIs) poses great difficulties due to arbitrary
orientations, various scales, and dense location of the targets over the ground. Recent …

This paper presents a comparative study among four operational detectors that work by
automatically post-processing synthetic aperture radar (SAR) images acquired from the …

By introducing Gaussian-Gamma-shaped (GGS) bi-windows instead of traditional rectangle
bi-windows, a new ratio-based edge detector is proposed to extract thin edges of synthetic …

This paper discusses an image processing architecture and tools to address the problem of
ship detection in synthetic-aperture radar images. The detection strategy relies on a tree …