激光与光电子学进展, 2016, 53 (9): 091001, 网络出版: 2016-09-14   

基于分层稀疏表示特征学习的高光谱图像分类研究 下载: 654次

Research of Hyperspectral Image Classification Based on Hierarchical Sparse Representation Feature Learning
作者单位
1 辽宁工程技术大学电子与信息工程学院, 辽宁 葫芦岛 125105
2 大连理工大学计算机科学与技术学院, 辽宁 大连 116024
引用该论文

李铁, 孙劲光, 张新君, 王星. 基于分层稀疏表示特征学习的高光谱图像分类研究[J]. 激光与光电子学进展, 2016, 53(9): 091001.

Li Tie, Sun Jinguang, Zhang Xinjun, Wang Xing. Research of Hyperspectral Image Classification Based on Hierarchical Sparse Representation Feature Learning[J]. Laser & Optoelectronics Progress, 2016, 53(9): 091001.

参考文献

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李铁, 孙劲光, 张新君, 王星. 基于分层稀疏表示特征学习的高光谱图像分类研究[J]. 激光与光电子学进展, 2016, 53(9): 091001. Li Tie, Sun Jinguang, Zhang Xinjun, Wang Xing. Research of Hyperspectral Image Classification Based on Hierarchical Sparse Representation Feature Learning[J]. Laser & Optoelectronics Progress, 2016, 53(9): 091001.

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