Ship detection is always a vital section of the marine application of spaceborne synthetic aperture radar (SAR), especially after the launch of ENVISAT in 2002. ASAR’s Alternating Polarization (AP) mode can simultaneously provide two well geo-registered images in different polarization pairs, namely VV/HH, HH/HV, and VV/VH. This dual polarization function can probably help to enhance the ship d...

In this study, we propose a Support Vector Machine (SVM) based method for ship detection in polarimetric SAR (POLSAR). Because of similarities of ship and man-made structures on land in scattering mechanisms, land and sea are first segmented by SVM according to polarimetric features and texture features; The SVM-based Recursive Feature Elimination (RFE-SVM) approach is adopted to improve the pe...

Synthetic Aperture Radar (SAR) ship detection is an important maritime application. However, azimuth ambiguities caused by the finite sampling of the Doppler spectrum are often visible in SAR images and are always mistaken as ships by classic detection techniques, like the Constant False Alarm Rate (CFAR). It is known that radar targets and azimuth ambiguities have different characteristics in ...

Ship detection and classification with space-borne SAR has many potential applications within the maritime surveillance, fishery activity management, monitoring ship traffic, and military security. While ship detection techniques with SAR imagery are well established, ship classification is still an open issue. One of the main reasons may be ascribed to the difficulties on acquiring the require...

Operational SDSOI and Novel hierarchical complete approach based on shape and texture properties, which is considered a sequential coarse-to-fine deleting process of fake alarms. Simple shape analysis is adopted to delete evident fake candidates generated by image segmentation with world and local information and to extract ship candidates with missing alarms as low as possible and a novel semi...

The long term goal of this work was to develop a radar solution for the detection of marine mammals using ship-borne radar and demonstrate its performance. In particular, a solution using commercial surface search radars was desired it would provide a readily accessible technique for commercial shipping concerned about ship strike of marine mammals and/or detection for compliance with operating...

Among ship detection methods for SAR image, constant false alarm rate (CFAR) is the most important one. However, several factors, such as detector parameter and distribution of ocean clutter, affect the performance of CFAR detection. This paper proposes a novel hierarchical complete and operational ship detection approach based on detector parameter estimation and clutter pixel replacement, whi...

Synthetic aperture radar (SAR) ship detection has been playing an increasingly essential role in marine monitoring in recent years. The lack of detailed information about ships in wide swath SAR imagery poses difficulty for traditional methods in exploring effective features for ship discrimination. Being capable of feature representation, deep neural networks have achieved dramatic progress in...

One of the most difficult tasks of ship detection is detecting the ship which is docking at the port in remote sensing image. Traditional methods of automatic detection cannot be used to detect the land/waterboundaries, because both the gray values and textural features of a port are similar to those of the ships which are docking at the port. Therefore, ships cannot be accurately detected in t...

With the rapid development of optical remote sensing satellites, ship detection and identification based on large-scale remote sensing images has become a significant maritime research topic. Compared with traditional ocean-going vessel detection, inshore ship detection has received increasing attention in harbor dynamic surveillance and maritime management. However, because the harbor environm...