Analyzed and summarized the research results on the ship target detection and identification in SAR imagery. The characteristics of the ship target recognition in SAR imagery are listed. Ship target recognition techniques are introduced. And the ship detection and recognition algorithms have been reviewed and analyzed. The main problems on ship detection and recognition process have been descri...

To reduce water traffic accident, identification of overloaded ships has been of major importance for enforcing inland river management, especially in some developing countries. Driven by rising oil prices or other economic benefits, the ship overload phenomenon continued to occur in China. Therefore, overloaded ship detection has been of a key factor of shipping safety. This paper presented a ...

in synthetic aperture radar (sar) imagery, ship-sea contrast can be significantly improved when the polarimetric information is used, compared with information from a single channel sar. the constant false alarm rate (cfar) detection algorithm based on the alpha-stable (as) distribution model is a descent method for ship detection in sea. the most important step in this method is the parameter ...

With the rapid development of spaceborne synthetic aperture radar (SAR) and the increasing need of ship detection, research on adaptive ship detection in spaceborne SAR imagery is of great importance. Focusing on practical problems of ship detection, this paper presents a highly adaptive ship detection scheme for spaceborne SAR imagery. It is able to process a wide range of sensors, imaging mod...

For ship detection, X-band synthetic aperture radar (SAR) imagery provides very useful data, in that ship targets look much brighter than surrounding sea clutter due to the corner-reflection effect. However, there are many phenomena which bring out false detection in the SAR image, such as noise of background, ghost phenomena, side-lobe effects and so on. Therefore, when ship-detection algorith...

Reliable ship detection plays an important role in both military and civil fields. However, it makes the task difficult with high-resolution remote sensing images with complex background and various types of ships with different poses, shapes and scales. Related works mostly used gray and shape features to detect ships, which obtain results with poor robustness and efficiency. To detect ships m...

Ship detection is a crucial application for global monitoring for environment and security. It permits to monitor traffic, fisheries, and to associate ships with oil discharge. An automatic ship detection approach for RADARSAT Fine Synthetic Aperture Radar (SAR) image is described and assessed using in situ ship validation information collected during field experiments conducted on August 6, 20...

Ship detection is an inherent process supporting tasks such as fishery management, ship search, marine traffic monitoring and control, and helps in the prevention of illegal activities. So far, sea and shore monitoring has been carried out by ship patrols and aircrafts along with sea vessel detection from data from space-borne platforms. Recently an increase interest in applying images delivere...

A few previous studies have illustrated the potentials of compact polarimetric Synthetic Aperture Radar (CP SAR) in ship detection. In this paper, we design a ship detection algorithm of CP SAR from the perspective of computer vision. A ship detection algorithm using the pulsed cosine transform (PCT) visual attention model is proposed to suppress background clutter and highlight conspicuous shi...

Ship detection has been playing a significant role in the field of remote sensing for a long time, but it is still full of challenges. The main limitations of traditional ship detection methods usually lie in the complexity of application scenarios, the difficulty of intensive object detection, and the redundancy of the detection region. In order to solve these problems above, we propose a fram...