红外技术2016，Vol.38Issue(8)：699-704,6.
基于稀疏表示分步重构算法的高光谱目标检测
Target Detection in Hyperspectral Image Using Two Steps Reconstruction Based on Sparse Representation
摘要
Abstract
Aiming at the efficiency problem of traditional reconstruction algorithm for target detection in hyperspectral image, a two steps reconstruction algorithm was proposed. K nearest atoms with text pixel were calculated for representing the text pixel to calculate sparse vectors. This method solves the problem by calculating inverse matrix instead of iteration, which simplifies the process. The specific process of the method is given and the method is compared with the traditional and improved ones. Experimental results show that this method can improve the computation speed without decreasing the accuracy of detection.关键词
高光谱目标检测/重构算法/稀疏表示Key words
hyperspectral target detection/reconstruction algorithm/sparse representation分类
信息技术与安全科学引用本文复制引用
廖佳俊,刘志刚,姜江军,路志勇..基于稀疏表示分步重构算法的高光谱目标检测[J].红外技术,2016,38(8):699-704,6.基金项目
国家自然科学基金项目（41574008）。 （）
