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中文摘要：
本研究以新疆阜康地区的典型荒漠植被为对象,通过微分和Savitzky-Golay平滑滤波处理,从野外高光谱仪采集的高光谱谱线中,提取了典型荒漠植被的高光谱特征（红边、绿峰、红谷）,结果显示,荒漠植被虽然也具有红边和绿峰等吸收特征,但是枝叶稀疏、覆盖度较低的荒漠植被高光谱受下垫面影响,不具有明显绿峰,红边特征也随着植被盖度的降低而减弱;由于荒漠植被10月份进入凋落枯萎时期,其光谱反射率受土壤光谱干扰而数值偏大,红边位置较5月份呈现出＂红移＂的规律,NDVI和RVI指数也呈现出10月份低于5月份的现象;不同草地类型、不同季相的荒漠植被,其红边、绿峰、红谷特征和植被指数均具有显著差异,但是NDVI和RVI具有较高的数据相关性。新疆典型荒漠草地的光谱特征提取和分析研究不但丰富了高光谱信息挖掘手段,还为基于高光谱信息的草地类型分类研究提供了数据基础和科学依据。
英文摘要：
The hyper-spectral features（red edge,green peak,red valley） of typical desert grasslands in Xinjiang Fukang City were extracted from hyper-spectral lines through differential and Savitzky-Golay smoothing filter processing.The desert vegetations have absorption features,such as red edges and green peaks but the hyper-spectral curves are not clear because of the effect of the underlying surface showing through the sparse foliage of the low coverage desert vegetation;Due to the withered litter desert vegetation in October,the spectral reflectance effect of soil interference was too large,and compared with that in May,the red edge position showed the phenomenon of ＂red edge shift＂.The NDVI（the normalized difference vegetation index） and RVI（ratio vegetation index） index values were lower in October.There were significant differences in red edge,green peak,red peak and vegetation index characteristics between grassland types,different seasonal desert vegetations,but NDVI and RVI were associated with strong correlations.Finally,the feature extraction and analysis of hyper-spectral data from typical desert grasslands in Xinjiang not only enriches the means of hyper-spectral data mining,but also provides a scientific basis for grassland classification based on hyper-spectral data.
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