基于空间统计学的高光谱遥感影像主成分选择方法

孙肖, 彭军还, 赵锋, 王晓阳, 吕洁, 张登峰

Principal component selection method for hyperspectral remote sensing images based on spatial statistics

SUN Xiao, PENG Junhuan, ZHAO Feng, WANG Xiaoyang, LYU Jie, ZHANG Dengfeng

表1 Indian Pines数据集不同阈值筛选的主成分

Tab.1 Principal component selected by different thresholds in Indian Pines data set

不同方法 筛选的主成分编号 PC(2~0.25) 1~8,10~21,23~25,28,38,66,68,88,92,101,108,109 PC(2~0.2) 1~8,10~25,28,29,38,55,59,66,88,92,101,103,108,109 PC(2.5~0.25) 1~8,10~21,23~25,28,38,66,68,88,92,101 PC(2.5~0.2) 1~8,10~25,28,29,38,59,66,68,88,92,101,103