舰船电子工程2025，Vol.45Issue(2)：39-44,93,7.DOI:10.3969/j.issn.1672-9730.2025.02.009
基于FCM直线拟合与Radon变换的SAR舰船图像分割
SAR Ship Image Segmentation Based on FCM Straight Line Fitting and Radon Transform
摘要
Abstract
Aiming at the problem that synthetic aperture radar(SAR)ship image segmentation results lose ship geometry fea-tures,a new segmentation method of SAR ship image based on FCM line fitting and Radon transform is proposed.Firstly,the im-proved fuzzy C-means clustering algorithm is used to initially segment the ship target and the ocean background,and then the mini-mum distance linear fitting of the segmentation results is carried out to obtain the ship target's azimuth angle,and then the image is segmented by Radon transform.Finally,morphological optimization is carried out on the image after Radon transform.The experi-mental results show that compared with the traditional segmentation algorithm,the difference between the algorithms can be in-creased to 0.996 060.Intra-domain consistency is increased to 0.679 505.The shape complexity is reduced to 1.990 942,which can effectively improve the segmentation effect of SAR ship target and enhance the stability of ship target segmentation,which is of great significance for the recognition and classification of Marine ship target.关键词
合成孔径雷达/图像分割/舰船目标/直线拟合/Radon变换Key words
synthetic aperture radar/image segmentation/ship target/straight line fitting/Radon transform分类
信息技术与安全科学引用本文复制引用
贺顺,李丹阳,刘祥熹..基于FCM直线拟合与Radon变换的SAR舰船图像分割[J].舰船电子工程,2025,45(2):39-44,93,7.基金项目
国家自然科学基金项目"高动态飞行器分布式异形天线阵列信号处理关键技术研究"(编号:62071481)资助. （编号:62071481）
