This paper investigates the synthetic aperture radar (SAR) image segmentation in terms of
feature analysis and fusion and develops a new algorithm based on multifeature ensemble …

This paper presents an image segmentation method named Context-based Hierarchical
Unequal Merging for Synthetic aperture radar (SAR) Image Segmentation (CHUMSIS) …

This letter proposes a region-merging-based method for synthetic aperture radar (SAR)
image segmentation, where the merging cost is a fusion of texture pattern similarity measure …

In this article, we propose a fast superpixel region merging algorithm for synthetic aperture
radar (SAR) image segmentation. With our previously proposed adaptive superpixel …

This letter proposes a novel segmentation algorithm for synthetic aperture radar (SAR)
images based on hierarchical region merging and edge evolving. To cope with the influence …

A new synthetic aperture radar (SAR) image segmentation method based on a maximization
of posterior marginals (MPM) algorithm with feature extraction and context model is …

This paper presents a novel two-stage image segmentation framework by artificial immune
system (AIS) thereof to partition synthetic aperture radar (SAR) images. The following three …

The objective of this article is to investigate a multiphase segmentation framework for
synthetic aperture radar (SAR) images, which is proposed based on the idea of the fuzzy …

This article addresses the problem of superpixel-bases segmentation of synthetic aperture
radar (SAR) images. Most superpixel segmentation methods have difficulties in segmenting …

In this letter, we propose a fast superpixel-based clustering algorithm (FSC) for synthetic
aperture radar (SAR) image segmentation. First, the SAR image is over-segmented into …