太赫兹科学与电子信息学报2017，Vol.15Issue(4)：558-564,7.DOI:10.11805/TKYDA201704.0558
基于分块相位梯度算法的多舰船尾迹自动识别
Automatic recognition of multiple ship wakes in SAR image based on PGA
摘要
Abstract
A Phase Gradient Algorithm(PGA) based algorithm for the automatic recognition of multiple ship wakes in Synthetic Aperture Radar(SAR) image is presented. Firstly, the center point of each ship image is extracted by using a combination algorithm of multiple-structure morphology filtering, the OTSU automatic segmentation and the clustering method. Then, the whole image is divided into sub-images which are chosen to be a square of appropriate size and the centers of sub-images are the detected points. As moving ships in SAR image always result in residual chirps in the azimuthally processed signals, the block-wise PGA is utilized to compensate the position offset and defocusing effect in each sub-image. Finally, an improved local Hough transform is proposed to detect the ship wake based on an inverse analysis of the detected wake's coordinate and angle, and the locations and the trajectories of each moving ship are obtained. The examples demonstrate that this algorithm can accurately recognize and restore the ships' actual trajectories and locations with high detectability and low false detection rate.关键词
合成孔径雷达/多舰船尾迹自动识别/分块相位梯度算法/改进局部Hough变换/多结构形态学滤波/聚类/OSTU自适应阈值分割Key words
Synthetic Aperture Radar/multiple ship wakes detection/block-wise Phase Gradient Algorithm/improved local Hough transform/multiple structure morphology filtering/clustering/OTSU automatic segmentation分类
信息技术与安全科学引用本文复制引用
孙玉鑫,丁娟娟,刘鹏..基于分块相位梯度算法的多舰船尾迹自动识别[J].太赫兹科学与电子信息学报,2017,15(4):558-564,7.基金项目
国家自然科学基金资助项目(61179022) （61179022）
