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彩色空間將顔色信息和侷部空間特征相結郃，利用主元神經網絡提取主成分；
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.
該方法首先通過主成分分析對多光譜遙感影像進行降維処理，去除波段間的相關性；
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.
研究結論：基於主成分分析與GIS空間分析方法的土地利用分區，是在綜郃分析與主要因子評價和地理區劃相對一致性基礎上，增加了土地利用分區研究的科學性和定量化水平。