光子学报, 2018, 47 (2): 0210002, 网络出版: 2018-01-30   

基于最小Hausdorff距离和NSST的遥感图像融合

Remote Sensing Image Fusion Based on Minimum Hausdorff Distance and Nonsampled Shearlet Transform
作者单位
1 太原理工大学 信息工程学院, 太原 030024
2 太原理工大学 大数据学院, 太原 030024
引用该论文

武晓焱, 柴晶, 刘帆, 陈泽华. 基于最小Hausdorff距离和NSST的遥感图像融合[J]. 光子学报, 2018, 47(2): 0210002.

WU Xiaoyan, CHAI Jing, LIU Fan, CHEN Zehua. Remote Sensing Image Fusion Based on Minimum Hausdorff Distance and Nonsampled Shearlet Transform[J]. ACTA PHOTONICA SINICA, 2018, 47(2): 0210002.

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武晓焱, 柴晶, 刘帆, 陈泽华. 基于最小Hausdorff距离和NSST的遥感图像融合[J]. 光子学报, 2018, 47(2): 0210002. WU Xiaoyan, CHAI Jing, LIU Fan, CHEN Zehua. Remote Sensing Image Fusion Based on Minimum Hausdorff Distance and Nonsampled Shearlet Transform[J]. ACTA PHOTONICA SINICA, 2018, 47(2): 0210002.

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