中圖分類號(hào)：TN957 文獻(xiàn)標(biāo)志碼：A DOI: 10.16157/j.issn.0258-7998.223260 中文引用格式： 徐新瑤,，王小龍. 基于Radon變換的高分辨SAR圖像艦船目標(biāo)精細(xì)分割[J]. 電子技術(shù)應(yīng)用，2023,，49(5)：142-148. 英文引用格式： Xu Xinyao,，Wang Xiaolong. Fine segmentation of ship targets for high-resolution SAR images based on Radon transform[J]. Application of Electronic Technique，2023,，49(5)：142-148.
Fine segmentation of ship targets for high-resolution SAR images based on Radon transform
Xu Xinyao1,，2，Wang Xiaolong1
(1.Aerospace Information Research Institute,， Chinese Academy of Sciences,， Beijing 100094， China,； 2.School of Electronic,， Electrical and Communication Engineering， University of Chinese Academy of Sciences， Beijing 100049,， China)
Abstract： With the improvement of the resolution of synthetic aperture radar (SAR), the use of SAR images for ship detection and identification has gradually become an important means of marine target surveillance. However, limited by the SAR imaging mechanism, the side-lobe problem of high-resolution SAR images is becoming prominent gradually, which seriously affects the subject segmentation of ship targets. In this paper, a fine segmentation algorithm of ship target based on Radon transform is proposed. By performing Radon transform on SAR images, the identification and elimination of sidelobe are realized in the Radon domain. Then, the morphological filtering is used to remove the fine side lobes. Finally, the effective suppression of the SAR image side lobes is realized. The algorithm is verified by GF-3 and COSMO-SkyMed satellite image data. The results show that the algorithm has better performance in uniformity of intra region, dissimilarity of inter region, and complexity of shape compared with existing segmentation algorithms.
Key words : synthetic aperture radar （SAR）,；sidelobe effect；fine segmentation,；Radon transform
