Abstract: Information analysis and processing of hyperspectral date were emphasized particularly on spectral responses from spectral dimension of remote sensing image.EXCEL software can process on restructuring and analysis of feature spectra,hyperspectral derivative,correlation analysis between features,likelihood measurement among the spectral vectors and information extraction according to the spectral reflected features based on the airborne PHI（Pushbroom Hyperspectral Imager）hyperspectral image data.And the feature information can be recognized and monitored in terms of the spectral features and SAM（Spectral Angle Mapping） technique.

Key words: EXCEL, hyperspectral remote sensing, PHI image, spectral analysis

摘要： 高光谱遥感侧重于从光谱维角度对影像信息进行分析与处理。由于目前高光谱数据的处理技术跟不上数据获取技术,而已有的成熟的多光谱影像处理技术并不适合于处理高光谱数据,因此利用EXCEL软件展开了高光谱影像的地物光谱重建、光谱特征及其相关性分析、光谱微分计算、光谱向量相似性度量和信息提取等研究,并基于PHI（Pushbroom Hyperspectral Imager）航空高光谱影像像元光谱维矢量进行了光谱响应分析,实现信息监测和识别。

关键词: EXCEL, 高光谱遥感, PHI影像, 光谱分析