激光与光电子学进展, 2019, 56 (15): 151006, 网络出版: 2019-08-05   

利用残差密集网络的高光谱图像分类 下载: 1230次

Hyperspectral Image Classification Based on Residual Dense Network
作者单位
信息工程大学, 河南 郑州 450001
引用该论文

魏祥坡, 余旭初, 谭熊, 刘冰. 利用残差密集网络的高光谱图像分类[J]. 激光与光电子学进展, 2019, 56(15): 151006.

Xiangpo Wei, Xuchu Yu, Xiong Tan, Bing Liu. Hyperspectral Image Classification Based on Residual Dense Network[J]. Laser & Optoelectronics Progress, 2019, 56(15): 151006.

参考文献

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魏祥坡, 余旭初, 谭熊, 刘冰. 利用残差密集网络的高光谱图像分类[J]. 激光与光电子学进展, 2019, 56(15): 151006. Xiangpo Wei, Xuchu Yu, Xiong Tan, Bing Liu. Hyperspectral Image Classification Based on Residual Dense Network[J]. Laser & Optoelectronics Progress, 2019, 56(15): 151006.

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