In this letter, a new superpixel-based constant-false-alarm-rate (CFAR) target detection
algorithm for high-resolution synthetic aperture radar (SAR) images is proposed. The …

Since the number of superpixels is lower than that of pixels, superpixels can substantially
speed up subsequent processing steps and have been widely used in synthetic aperture …

The recent emergence of high-resolution Synthetic Aperture Radar (SAR) images leads to
massive amounts of data. In order to segment these big remotely sensed data in an …

Existing superpixel-based detection algorithms for ship targets in synthetic aperture radar
(SAR) images are often derived from the local contrast of intensities (ie, the local contrast of …

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 …

Synthetic aperture radar (SAR) image classification is a fundamental research direction in
image interpretation. With the development of various intelligent technologies, deep learning …

Ship detection in high-resolution synthetic aperture radar (SAR) images has attracted great
attention. As a popular method, a constant false alarm rate (CFAR) detection algorithm is …

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

Superpixel can maintain the boundary of the target and reduce the influence of speckle
noise, which has been widely applied to synthetic aperture radar (SAR) image target …

合成孔径雷达(SAR) 图像舰船目标检测一直受到学者广泛关注, 恒虚警率(CFAR)
检测算法作为雷达图像经典目标检测算法被广泛应用于SAR 图像舰船目标检测中 …