【摘要】 提出了一种基于分段主成分分析的高光谱图像波段选择算法。该算法把每个波段被映射到主成分的信息量的大小作为是否被选择的指标,可以保证选择的波段信息丰富；通过分段分析,可以更全面的选择波段；指标的计算只需要得到原始数据的协方差阵,而不必对原始数据进行真正的主成分变换,降低了计算量。更多还原

【Abstract】 A segmented PCA based band selection algorithm of hyperspectral image is proposed.This algorithm regards the amount of the information that is mapped into the principal components of a given band as the crite- rion which can be selected.Therefore,it can ensure that the selected bands contain most information of the origi- nal data,and with the segmentation on original data comprehensive bands can be selected.In order to get the cri- terion,only the covariance metrics are needed.So,it does not need to carry principal component transformation on the original data,which save much computation time.The results of the Bayesian classification and K-means classification indicate the validity and feasibility of the algorithm.更多还原