Advances in space-based ocean surveillance systems have improved the detection of
objects from high-quality remote-sensing big data. Previous studies mainly focused on …

Passive millimeter-wave (PMMW) imaging is a powerful approach for detecting hidden
objects underneath clothing. The theoretical basis of object detection methods is the contrast …

In this letter, we propose a new constant false alarm rate (CFAR) detector to accelerate the
existing superpixel (SP)-based CFAR detectors for ship detection in synthetic aperture radar …

Detection of small sea vessels in synthetic aperture radar (SAR) images has received much
attention in recent years because the small vessels have weak scattering intensity and few …

Constant false alarm rate (CFAR) detector is a class of widely used methods for target
detection in radar images. Classical CFAR detectors perform target detection on a pixel-by …

In this paper, we consider the problem of fusion of synthetic aperture radar (SAR) images
from spaceborne and airborne sensors and investigate its applications to inshore ship target …

Existing ship detection approaches in optical remote sensing images often suffer from
bottlenecks in inshore scenarios due to the substantial interference. In addition, the ship …

The simple linear iterative clustering (SLIC) has been shown as an efficient and widely used
superpixel-based algorithm for segmenting marine synthetic aperture radar (SAR) images …

As the optical remote sensing techniques keep developing with a rapid pace, remote
sensing images are positively considered in many fields. Accordingly, a great number of …

The problem of multiscale ship detection in synthetic aperture radar (SAR) images has
received much attention with the development of deep convolutional neural networks …