Over the last two decades, there has been a significant improvement in the quality and
volume of the remote-sensing images. With the extensive availability of the images, these …

Edges are distinct geometric features crucial to higher level object detection and recognition
in remote-sensing processing, which is a key for surveillance and gathering up-to-date …

In this article, we propose an adaptive superpixel generation algorithm for synthetic aperture
radar (SAR) imagery, which is implemented based on fast density-based spatial clustering of …

Automatic optical-to-SAR image registration is considered as a challenging problem
because of the inconsistency of radiometric and geometric properties. Feature-based …

Simple linear iterative clustering (SLIC) algorithm was proposed for superpixel generation
on optical images and showed promising performance. Several studies have been …

Edge detection in Synthetic Aperture Radar (SAR) images has been a challenging task due
to the speckle noise. Ratio-based edge detectors are robust operators for SAR images that …

The superpixel generation is a key step for object-based classification and change
detection. For the time-series polarimetric synthetic aperture radar (PolSAR) superpixel …

Edge detection is a technique used to identify inherent structures within an image, and it is
an essential requirement for synthetic aperture radar (SAR) applications. In particular, ratio …

The development of coastline detection has been the subject of several reports. An
optimized fuzzy cellular automata (FCA) algorithm for SAR image edge detection, which …

This article proposes an efficient and adaptive statistical superpixel merging approach with
edge penalty for polarimetric synthetic aperture radar (PolSAR) image segmentation. Based …