基于低秩稀疏矩阵分解和稀疏字典表达的高光谱异常目标检测

张晓慧; 郝润芳; 李廷鱼

doi:doi:10.3788/LOP56.042801

激光与光电子学进展, 2019, 56 (4): 042801, 网络出版: 2019-07-31

基于低秩稀疏矩阵分解和稀疏字典表达的高光谱异常目标检测下载： 1200次

Hyperspectral Abnormal Target Detection Based on Low Rank and Sparse Matrix Decomposition-Sparse Representation

张晓慧郝润芳李廷鱼 ^*

作者单位

太原理工大学信息与计算机学院, 山西太原 030600

引用该论文

张晓慧, 郝润芳, 李廷鱼. 基于低秩稀疏矩阵分解和稀疏字典表达的高光谱异常目标检测[J]. 激光与光电子学进展, 2019, 56(4): 042801.

Xiaohui Zhang, Runfang Hao, Tingyu Li. Hyperspectral Abnormal Target Detection Based on Low Rank and Sparse Matrix Decomposition-Sparse Representation[J]. Laser & Optoelectronics Progress, 2019, 56(4): 042801.

参考文献

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张晓慧, 郝润芳, 李廷鱼. 基于低秩稀疏矩阵分解和稀疏字典表达的高光谱异常目标检测[J]. 激光与光电子学进展, 2019, 56(4): 042801. Xiaohui Zhang, Runfang Hao, Tingyu Li. Hyperspectral Abnormal Target Detection Based on Low Rank and Sparse Matrix Decomposition-Sparse Representation[J]. Laser & Optoelectronics Progress, 2019, 56(4): 042801.

基于低秩稀疏矩阵分解和稀疏字典表达的高光谱异常目标检测下载： 1200次

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