Novel SAR target detection algorithm using free training

Lina Zeng, Deyun Zhou, Xiaoyang Li, Kun Zhang

科研成果: 期刊稿件文章同行评审

2 引用 (Scopus)

摘要

A detection method for Synthetic Aperture Radar (SAR) targets based on single sample feature extraction is proposed. Similar targets in a SAR image are detected according to the effective features of the selected single target sample. First, the potential targets of interest in a SAR image are detected, and the area features and texture features are extracted from the target sample and potential targets, respectively. Then, the false targets are eliminated from the potential targets via different matching methods. The proposed method for texture description in this paper can be adopted for targets with different attitudes by extracting the rotationinvariance features of the local region; these features can deal with speckle noise and deformation. The experimental results show the feasibility and validity of the proposed method.

源语言英语
页(从-至)177-185
页数9
期刊Journal of Radars
6
2
DOI
出版状态已出版 - 28 4月 2017

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