spatial principal component analysis

基本解释

Color information and local spatial features are combined in the HSV color space in order to obtain principal components by principal component analysis neural networks.
在HSV彩色空间将颜色信息和局部空间特征相结合，利用主元神经网络提取主成分；
Firstly, in order to remove spatial and spectral redundancies, the principal component analysis (PCA) algorithm was used for lowering the dimensions of the multispectral data.
该方法首先通过主成分分析对多光谱遥感影像进行降维处理，去除波段间的相关性；
It is concluded that the land use division based on principal component analysis and GIS spatial analysis can improve the scientific attributes and quantification of researches on land use division.
研究结论：基于主成分分析与GIS空间分析方法的土地利用分区，是在综合分析与主要因子评价和地理区划相对一致性基础上，增加了土地利用分区研究的科学性和定量化水平。