Application of HRRP even rank central moments features in satellite target recognition

Xiankang Liu*, Meiguo Gao, Xiongjun Fu

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

6 引用 (Scopus)

摘要

Because high resolution range profile (HRRP) is sensitive to pose and translation, HRRP even rank central moments are proposed to be used as a kind of stable target feature in satellite target recognition. HRRP SNR is enhanced by wavelet denoising, then translation-invariant central moments are extracted. In order to reduce the feature vector dimension, even rank central moments are proposed to be used alone. Nearest neighbor fuzzy classifier (NNFC) that is very fit for combined features is introduced to process the central moments features vector. Experimental results with real satellite data show that good recognition performance is obtained.

源语言英语
主期刊名RADAR 2007 - The Institution of Engineering and Technology International Conference on Radar Systems
版本530 CP
DOI
出版状态已出版 - 2007
活动RADAR 2007 - The Institution of Engineering and Technology International Conference on Radar Systems - Edinburgh, 英国
期限: 15 10月 200718 10月 2007

出版系列

姓名IET Conference Publications
编号530 CP

会议

会议RADAR 2007 - The Institution of Engineering and Technology International Conference on Radar Systems
国家/地区英国
Edinburgh
时期15/10/0718/10/07

指纹

探究 'Application of HRRP even rank central moments features in satellite target recognition' 的科研主题。它们共同构成独一无二的指纹。

引用此