spatial principal component analysis

基本解釋

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彩色空間將顏色信息和局部空間特征相結(jié)合，利用主元神經(jīng)網(wǎng)絡(luò)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(duì)多光譜遙感影像進(jìn)行降維處理，去除波段間的相關(guān)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(jié)論：基于主成分分析與GIS空間分析方法的土地利用分區(qū)，是在綜合分析與主要因子評(píng)價(jià)和地理區(qū)劃相對(duì)一致性基礎(chǔ)上，增加了土地利用分區(qū)研究的科學(xué)性和定量化水平。