An Improved Algorithm for Ship Detection from the High-Resolution SAR Images

Abstract:

An improved algorithm for ship detection from the high-resolution synthetic aperture radar (SAR) images is proposed in this paper. In this algorithm, we firstly utilize the image pre-processing step to suppress the speckle noise. Then, the ship ROIs (Region of Interest) are obtained based on MSER (Maximally Stable Extremal Region) method, which enables preliminary extraction of ship candidates. Finally, an improved CFAR (Constant False Alarm Rate) detector is designed for accurate detection with the purpose of accelerating the whole process and decreasing false alarms. The experimental results show that this method can achieve effective ship detection in high-resolution SAR images. The process of ship detection is also accelerated which is in favour of the project realization.

• Periodical: Advanced Materials Research (Volumes 1044-1045)
• Pages: 1040-1044
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1044-1045.1040
• Online since: October 2014
• Authors: Qing Ping Wang, Hong Zhu, Wei Wei Wu, Chang Zhu, Nai Chang Yuan
• Keywords: Conventional CFAR, High-Resolution SAR Images, MSER, ROI, Ship Detection

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