Synthetic aperture radar (SAR) ship detection is of significant importance in military and commercial applications. However, a high similarity intensity spatial distribution scattering characteristics between the target harbor facilities, along with fuzzy sea-land boundary due to strong speckle noise, result low accuracy false alarm rate for SAR complex inshore scenes. In this paper, new method...

Satellite synthetic aperture radar (SAR) images are recognized as one of the most efficient tools for day/night, all weather and large area monitoring ships at sea. However, false alarms discrimination is still key problem on SAR ship detection. While many techniques have been proposed treatment alarms, not enough emphasis has targeted to explore how obtained related changing ocean environmenta...

In this paper we propose truncated sequential constant false alarm rate ( CFAR) detectors which are approximations of the optimum sequential sign and sequential conditional sign detectors. The particular approximations used here allow exact evaluation of the performances. These detectors form a test statistic by taking the weighted sum of the outputs of a hard-limiter in one case and a dead-zon...

We develop and investigate several novel multiresolution algorithms for detecting coherent radar targets embedded in clutter. These multiresolution detectors exploit the fact that prominent target scatterers interfere in a characteristic manner as resolution is changed, while multiresolution clutter signatures are random. We show, both on simulated and collected synthetic aperture radar data, t...

This paper presents a CFAR detector based on the bootstrap for detecting signals with unknown amplitude, phase and frequency such as found in conventional pulsed radar and sonar systems. The detector is robust against non-Gaussian noise, and can still maintain the false alarm rate without much modification if consistent estimates are substituted for unknown parameters. Preliminary asymptotic re...

Synthetic aperture radar (SAR) satellites produce large quantities of remote sensing images that are unaffected by weather conditions and, therefore, widely used in marine surveillance. However, because the hysteresis satellite-ground communication and massive quantity images, rapid analysis is not possible real-time information for emergency situations restricted. To solve this problem, paper ...