A Near Real Time CFAR Approach for Ship Detection on Sar Data Based on a Generalised-K Distributed Clutter Estimation

2021 
Ship detection SAR images is a key technology in maritime surveillance applications. We show here the main issues arising in the processing SAR data for ship detection and how techniques, based on Constant False Alarm Rate (CFAR) algorithms, have evolved to face them and to achieve operational performances. This evolution followed the advancements in the satellite SAR system technology that have increased acquisition capability in terms of always greater number of images and modes, better spatial resolutions and wider swaths. We describe an operational CFAR ship detection algorithm having some novel features with respect to CFAR algorithms available in literature to improve quality, robustness and processing time.
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