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高光谱遥感技术在植被信息提取中的应用
引用本文:邹卓阳,杨武年,陈颖.高光谱遥感技术在植被信息提取中的应用[J].四川测绘,2010,33(2):55-57.
作者姓名:邹卓阳  杨武年  陈颖
作者单位:成都理工大学遥感与GIS研究所,四川,成都,610059 
摘    要:高光谱遥感技术与传统遥感技术相比,有着图谱合一和光谱连续的优势,能够实现地物的准确识别和精细分类,并且在岩矿信息提取方面取得了显著成果,然而在植被信息提取中的研究尚处于发展阶段。随着农作物估产和土地利用监测等领域对植被精细信息的要求日益提高,高光谱遥感在植被研究中的应用显得越发重要。本文针对高光谱在植被信息提取中的应用进行研究,实现传统多光谱遥感难以完成的准确识别与分类。

关 键 词:高光谱  植被  信息提取  波谱分析  分类

Application of Hyperspectral Remote Sensing Technology in Vegetation Information Extraction
ZOU Zhuo-yang,YANG Wu-nian,CHEN Ying.Application of Hyperspectral Remote Sensing Technology in Vegetation Information Extraction[J].Surveying and Mapping of Sichuan,2010,33(2):55-57.
Authors:ZOU Zhuo-yang  YANG Wu-nian  CHEN Ying
Institution:ZOU Zhuo-yang YANG Wu-nian CHEN Ying(Ministerial Key Lab of Land and Resources Information Technology and Application,Institute of RS and GIS,Chengdu University of Technology,Chengdu 610059,China)
Abstract:Hyperspectral remote sensing technology has been successfully used in distinguishing and classifying tiny objects due to its higher spectral resolution.It has broken the restriction of traditional multispectral remote sensing,which has difficulty in realizing various spectrum on the surface of the ground.So far,there are many researchers have studied the application of hyperspectral remote sensing technology in geological sciences and achieved gratifying successes.However,it is only at the first step of stu...
Keywords:Hyperspectral  Vegetation  Information extraction  Spectral analyst  Classification  
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