海军航空大学学报2024，Vol.39Issue(5)：587-594,8.DOI:10.7682/j.issn.2097-1427.2024.05.008
结合自适应脉压与排列熵特征的陆海分割方法
A Method of Land-Sea Segmentation Combining Adaptive Pulse Compression with Permutation Entropy Features
摘要
Abstract
A land-sea segmentation method is proposed,which combines adaptive pulse compression and permutation en-tropy feature extraction,aimed at addressing the issue of strong land clutter sidelobes near coastlines affecting the detec-tion of offshore targets.Firstly,the method initially employs a two-stage phase compensation adaptive pulse compression technique to suppress the impact of strong nearshore land clutter sidelobes on land-sea segmentation.Subsequently,the per-mutation entropy of each distance and azimuth resolution cell is calculated using the observational data within the cell,sig-nificantly enhancing the contrast between land echo and sea surface echo.Finally,digital image processing techniques such as Otsu's method for image segmentation and morphological processing are utilized to extract the land-sea boundary line.The processing results of actual measured data indicate that the combination of adaptive pulse compression and per-mutation entropy feature extraction effectively enhances the contrast between land and sea echoes,ensuring the accuracy of land-sea boundary line extraction.关键词
陆海分割/自适应脉冲压缩/排列熵/数字图像处理Key words
land-sea segmentation/adaptive pulse compression/permutation entropy/digital image processing分类
信息技术与安全科学引用本文复制引用
张鹏举,黄勇,张洪峰,柳超,耿伟智,徐以东..结合自适应脉压与排列熵特征的陆海分割方法[J].海军航空大学学报,2024,39(5):587-594,8.基金项目
国家自然科学基金(62388102、62101583、61871392) （62388102、62101583、61871392）
泰山学者工程(tsqn202211246) （tsqn202211246）
