The present article is an introductory paper in this special issue on synthetic aperture radar
(SAR). A short review is presented on the recent trend and development of SAR and related …

Recently, deep-learning methods have been successfully applied to the ship detection in the
synthetic aperture radar (SAR) images. It is still a great challenge to detect multiscale SAR …

Synthetic aperture radar (SAR) is an active microwave imaging sensor for high-resolution
observation, with the ability of working in all-weather and all-day. Recently, SAR images …

Synthetic Aperture Radar (SAR) has become one of the important technical means of marine
monitoring in the field of remote sensing due to its all-day, all-weather advantage. National …

Target detection is the front-end stage in any automatic target recognition system for
synthetic aperture radar (SAR) imagery (SAR-ATR). The efficacy of the detector directly …

To achieve efficient ship detection in high-resolution synthetic aperture radar images, an
improved superpixel-level constant false alarm rate (CFAR) detection method is proposed …

The rapid development of remote sensing technology has led to a sharp increase in the
amount of synthetic aperture radar (SAR) measurements, which put forward higher …

Ship detection is one of important applications for synthetic aperture radar (SAR). Speckle
effects usually make SAR image understanding difficult and speckle reduction becomes a …

In this letter, a novel constant false alarm rate (CFAR) detection algorithm for high-resolution
synthetic aperture radar (SAR) images is proposed with the generalized gamma distribution …

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 …