摘要
波段数目多和波段宽度窄是高光谱分辨率遥感的两个显著特点 ,常规的用于分析的波段组合方法在信息的利用上是不充分的。笔者利用六种植物的冠层测量数据作为试验样本 ,使用了系统聚类分析的方法 ,找出具有信息相似性的波段 ,将这些波段划分为同一种通道类型 ,它们对于植被冠层中的同一种生化成分是敏感的 ,并使用主成分分析的方法进行降维、合并处理 ,得出可以用于实际分析的波段线性组合方法。最后利用前两个主成分的相对得分图 ,进行不同物种类别的划分 ,达到识别的目的。
Hypersperctral remote sensing has two distinct characters that the band number is more than multispectral remote sensing and the width of band is narrow. For these features, using six kinds of forest canopy reflectance data for samples, we used system cluster to obtain those bands that have similar reflectance information, and separated these bands into the same type, which are sensitive to a specific biochemical composition, then used Principle Component Analysis (PCA) to simplify and unite these bands. A band combination was obtained from above processing. Finally, we have distinguished different kinds of forest canopy based upon a plot of factors.
出处
《地理学与国土研究》
CSSCI
CSCD
北大核心
2002年第2期23-25,共3页
Geography and Territorial Research
基金
国家 8 63项目支持 (2 0 0 1AA13 60 3 0 )
