A novel Scan SAR imaging method for maritime surveillance via Lp regularization |
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Authors: | Jia-cheng Ni Yu-fu Yin Ying Luo Li Sun |
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Affiliation: | 1. School of Information and Navigation, Air Force Engineering University, Xi’an, China;2. Department of Information Countermeasure, Collaborative Innovation Centre of Information Sensing and Understanding, Xi’an, China;3. National Laboratory of Radar Signal Processing, Xidian University, Xi’an, China |
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Abstract: | In this article, a novel Scan mode synthetic aperture radar (SAR) imaging method for maritime surveillance is presented. Conventional Scan SAR is generally operated with severe azimuth resolution loss in order to cover a large area. The proposed imaging method changes the way Scan SAR illuminates sub-scenes and presents a new radar illuminating strategy based on ships’ spatial distribution in each sub-scene. To gain ships’ spatial distribution, a scene sensing algorithm based on radar range profiles together with a peak-seeking and clustering algorithm is introduced. After that, a Markov transfer-probability matrix is generated to make sure that radar illuminates each sub-scene randomly under the probability we calculated before. Finally, an imaging algorithm within the Lp (0 < p ≤ 1) regularization framework is utilized to reconstruct each sub-scene; the regularization problem is solved by an improved iterative thresholding algorithm. The whole wide swath image is joined by putting all the sub-scenes together. Experimental results support that the proposed imaging method can perform high-resolution wide swath SAR imaging effectively and efficiently without reducing the image resolution. |
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