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高光谱遥感在植被特征识别研究中的应用
引用本文:梁尧钦,曾辉.高光谱遥感在植被特征识别研究中的应用[J].世界林业研究,2009,22(1):41-47.
作者姓名:梁尧钦  曾辉
作者单位:梁尧钦,Liang Yaoqin(北京大学深圳研究生院城市与环境学院,深圳,518055);曾辉,Zeng Hui(北京大学深圳研究生院城市与环境学院,深圳,518055;北京大学城市与环境学院生态学系,北京,100871)  
基金项目:深圳市科技局资助项目,北京大学深圳研究生院校长基金 
摘    要:总结了高光谱遥感在植被物种识别、结构特征分析、理化信息提取等主要领域的应用研究现状;分析了高光谱遥感在植被特征识别中所涉及的光谱特征优化、混合光谱分解、图像分类识别等关键性技术环节的最新进展;剖析了目前研究中存在的主要问题,并时今后的发展态势进行了展望.

关 键 词:高光谱遥感  植被特征识别  光谱处理技术
收稿时间:8/8/2008 12:00:00 AM

Application of Hyperspectral Remote Sensing in Identification of Vegetation Characteristics
Liang Yaoqin and Zeng Hui.Application of Hyperspectral Remote Sensing in Identification of Vegetation Characteristics[J].World Forestry Research,2009,22(1):41-47.
Authors:Liang Yaoqin and Zeng Hui
Institution:School of Environmental and Urban Studies, Shenzhen Graduate School, Peking University, Shenzhen 518055, Guangdong, China;School of Environmental and Urban Studies, Shenzhen Graduate School, Peking University, Shenzhen 518055, Guangdong, China;Department of Ecology, Environmental School of Peking University, Beijing 100871, China
Abstract:In the field of vegetation identification,hyperspectral remote sensing has attracted more and more attention for its superhigh spectral resolution and enhanced ability of target identification.In this paper,the application of hyperspectral remote sensing in vegetation identification,structural characteristic analysis,biophysical and biochemical information extraction is mainly discussed.As hyperspectral processing technology is the key factor that influences specific application,the correlative processing methods and technologies are presented in spectral feature optimization,spectral unmixing decomposition,and image classification and identification.In the end,status quo and problems of hyperspectral remote sensing in vegetation identification are discussed,and the development trend is forecast.
Keywords:hyperspectral remote sensing  identification of vegetation characteristic  spectral processing technology
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