Statistical modeling is essential to SAR (Synthetic Aperture Radar) image interpretation. It
aims to describe SAR images through statistical methods and reveal the characteristics of …

With the rapid development of spaceborne synthetic aperture radar (SAR) technology and
the acquisition of a large volume of SAR images, SAR image interpretation has become an …

The availability of synthetic aperture radar (SAR) data offers great potential for
environmental monitoring due to the insensitiveness of SAR imagery to atmospheric and …

In this paper, an efficient statistical model, called generalized Gamma distribution (GΓD), for
the empirical modeling of synthetic aperture radar (SAR) images is proposed. The GΓD …

This paper proposes a novel method for ship detection and discrimination in complex
background from synthetic aperture radar (SAR) images. It first implements a pixel-level land …

Synthetic aperture radar (SAR) images are inherently affected by a signal dependent noise
known as speckle, which is due to the radar wave coherence. In this paper, we propose a …

Synthetic aperture radar (SAR) ship detection is an important research topic in the field of
maritime applications. The geometrical perturbation-polarimetric notch filter (GP-PNF) was …

In order to analyse synthetic aperture radar (SAR) images of the sea surface, ship wake
detection is essential for extracting information on the wake generating vessels. One …

In this paper, we propose to use a matrix-variate Mellin transform in the statistical analysis of
multilook polarimetric radar data. The domain of the transform integral is the cone of …

Synthetic aperture radar (SAR) imagery can provide useful information in a multitude of
applications, including climate change, environmental monitoring, meteorology, high …