摘要
随着合成孔径雷达(Synthetic Aperture Radar, SAR)分辨率的提升,利用SAR图像进行舰船检测和识别逐渐成为海洋目标监视的重要手段。但受限于SAR成像机理,高分辨SAR图像旁瓣问题开始凸显,这严重影响舰船目标的主体分割。提出一种基于Radon变换的舰船目标精细分割算法,通过将SAR图像进行Radon变换,在Radon域实现了旁瓣数据的识别与剔除。然后利用形态学滤波去除细碎旁瓣,最终实现了SAR图像旁瓣的有效抑制。利用高分三号和COSMO-SkyMed卫星图像数据对算法进行验证,结果表明该算法相比于现有分割算法,在区域内均匀性、区域间差异性、形状复杂度等方面均具有较好的提升。
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.
作者
徐新瑶
王小龙
Xu Xinyao;Wang Xiaolong(Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China;School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 100049,China)
出处
《电子技术应用》
2023年第5期142-148,共7页
Application of Electronic Technique
基金
国家重点研发计划(2017YFB0503001)。
