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
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.
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.