红外与毫米波学报, 2018, 37 (1): 119, 网络出版: 2018-03-14   

基于子空间中主成分最优线性预测的高光谱波段选择

Band selection of hyperspectral image based on optimal linear prediction of principal components in subspace
作者单位
1 南京航空航天大学 电子信息工程学院,江苏 南京 211106
2 中国科学院西安光学精密机械研究所 中科院光谱成像技术重点实验室,陕西 西安 710119
引用该论文

吴一全, 周杨, 盛东慧, 叶骁来. 基于子空间中主成分最优线性预测的高光谱波段选择[J]. 红外与毫米波学报, 2018, 37(1): 119.

WU Yi-Quan, ZHOU Yang, SHENG Dong-Hui, YE Xiao-Lai. Band selection of hyperspectral image based on optimal linear prediction of principal components in subspace[J]. Journal of Infrared and Millimeter Waves, 2018, 37(1): 119.

参考文献

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[7] Chang C I, Du Q, Sun T L, et al. A joint band prioritization and band-decorrelation approach to band selection for hyperspectral image classification [J]. IEEE Transactions on Geoscience and Remote Sensing, 1999, 37(6):2631-2641.

[8] Sun K, Geng X, Ji L. An efficient unsupervised band selection method based on an autocorrelation matrix for a hyperspectral image [J]. International Journal of Remote Sensing, 2014, 35(21):7458-7476.

[9] FANG Shuai, QU Chneg-Jia, YANG Xue-Zhi, et al. Linear prediction band selection based on optimal combination factors[J]. Journal of Image and Graphics(方帅, 瞿成佳, 杨学志, 等. 组合因子最优的线性预测波段选择. 中国图象图形学报), 2016, 21(2):255-262.

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[12] QIN Fang-Pu, ZHANG Ai-Wu, WANG Shu-Min, et al. Hyperspectral band selection based on spectral clustering and inter-class separability factor[J]. Spectroscopy and Spectral Analysis(秦方普, 张爱武, 王书民, 等. 基于谱聚类与类间可分性因子的高光谱波段选择. 光谱学与光谱分析), 2015, 35(5):1357-1364.

[13] TIAN Yei, ZHAO Chun-Hui, JI Ya-Xin. The principal component analysis applied to hyperspectral remote sensing image dimensional reduction[J]. Natural Sciences Journal of Harbin Normal University(田野, 赵春晖, 季亚新. 主成分分析在高光谱遥感图像降维中的应用. 哈尔滨师范大学自然科学学报), 2007, 23(5): 58-60.

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[15] ZHAO Chun-Hui, YAO Zhe-Feng. Local kernel RX algorithm-based hyperspectral real-time detection[J]. J. Infrared Millim. Waves(赵春晖,姚浙峰. 基于局部核RX算法的高光谱实时检测. 红外与毫米波学报), 2016, 35(6): 708-714.

吴一全, 周杨, 盛东慧, 叶骁来. 基于子空间中主成分最优线性预测的高光谱波段选择[J]. 红外与毫米波学报, 2018, 37(1): 119. WU Yi-Quan, ZHOU Yang, SHENG Dong-Hui, YE Xiao-Lai. Band selection of hyperspectral image based on optimal linear prediction of principal components in subspace[J]. Journal of Infrared and Millimeter Waves, 2018, 37(1): 119.

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