火力与指挥控制2017，Vol.42Issue(4)：10-13,4.
基于多尺度稀疏字典的SAR图像目标识别方法
SAR ATR Based on Multi-scale Sparse Dictionary
摘要
Abstract
A new approach is developed for Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) based on multi-scale sparse dictionary. The construction of the dictionary is a crucial issue in SAR ATR under the framework of sparse representation. The wavelet multi-scale analysis is used to construct the sparse dictionary so that local characteristics can be better studied. The training images are decomposed by using wavelet multi-scale analysis in wavelet domain,and the sparse coding for characteristics of each scale is represented by using multi-scale sparse dictionary. The class that the testing sample belonged to is determined by the minimum reconstruction error from the sparse parameter vectors under the framework of the cascade dictionary. The effectiveness of the method is proved by the experimental results.关键词
SAR目标识别/稀疏表示/小波多尺度分析/稀疏字典Key words
SAR ATR/sparse representation/wavelet multi-scale analysis/sparse dictionary分类
信息技术与安全科学引用本文复制引用
雷磊,杨秋,李开明..基于多尺度稀疏字典的SAR图像目标识别方法[J].火力与指挥控制,2017,42(4):10-13,4.基金项目
国家自然科学基金(61471386) （61471386）
陕西省统筹创新工程- 特色产业创新链基金资助项目(S2015TDGY0045) （S2015TDGY0045）
