计算机工程与应用Issue(10)：212-215,232,5.DOI:10.3778/j.issn.1002-8331.1206-0068
基于稀疏表示的SAR图像目标识别方法
SAR ATR method based on sparse representation
刘振 1姜晖 1王粒宾1
作者信息
- 1. 电子工程学院 信息工程系，合肥 230037
- 折叠
摘要
Abstract
In order to recognize SAR target accurately, an identification method based on sparse representation is proposed. The training samples after dimensionality reduction using principal component analysis are used to build a sparse linear model. The sparse coefficient solution x of the test sample is solved by ℓ1 -minimization. The identification task is solved by utilizing the sparse distribution of the sparse coefficient. Experimental results with MSTAR dataset verify that the identification method based on sparse representation in a certain characteristic dimension can obtain good recognition performance, and the recognition rate can reach more than 98%without knowing the target azimuth.关键词
合成孔径雷达(SAR)/目标识别/稀疏表示/ℓ1范数最优化Key words
Synthetic Aperture Radar(SAR)/target recognition/sparse representation/ℓ1-minimization分类
信息技术与安全科学引用本文复制引用
刘振,姜晖,王粒宾..基于稀疏表示的SAR图像目标识别方法[J].计算机工程与应用,2014,(10):212-215,232,5.
