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Position: Home > Articles > Discrimination of Cunninghamia lanceolata and Pinus massoniana based on hyperspectral data Journal of Central South University of Forestry & Technology 2011,31 (11) 30-33

基于高光谱数据的杉木和马尾松识别研究

作  者:
刘秀英;臧卓;孙华;林辉
单  位:
中南林业科技大学;河南科技大学农学院
关键词:
高光谱;逐步判别分析;植被指数;针叶树种
摘  要:
高光谱具有波段窄、波段多的特点,能够提供比多光谱遥感更精细的地物光谱信息,为识别光谱性质相似的森林树种提供了有效途径。为了识别光谱性质相似的杉木和马尾松,利用逐步判别分析法对杉木和马尾松的原始光谱、一阶微分光谱、对数变换后取一阶微分光谱及植被指数进行分析,结果表明:对数变换后取一阶微分的光谱及植被指数对杉木和马尾松的识别精度最高,分别为96.67%、89.17%;两树种识别的特征波段为490~499nm,500~519nm,560~579nm,610~619nm,630~649nm,680~700nm,710~719nm,770~779nm;组成植被指数NPCI、mND705、SRPI、GNDVI、GM的波段为:430、445、550、680、700、705、750nm。
译  名:
Discrimination of Cunninghamia lanceolata and Pinus massoniana based on hyperspectral data
作  者:
LIU Xiu-ying1,2,ZANG Zhuo2,SUN Hua2,LIN Hui2(1.Agronomy College,Henan University of Science and Technology,Luoyang 471003,Henan,China; 2.Research Center of Forestry Remote Sensing and Information Engineering,Central South University of Forestry and Technology,Changsha 410004,Hunan,China)
关键词:
hyperspectraum;stepwise discriminant analysis;vegetation indices;conifer species
摘  要:
Hyperspectrum provides an efficient method for the discrimination of forest trees with similar spectrum,because hyperspectrum has the characteristic of narrow band and multiband,and can provide more micromesh spectral information than multispectrum.To discriminate Cunninghamia lanceolata and Pinus massoniana,the original spectrum,first derivative of spectra,first derivative of log(R),vegetation indices of the two trees were analyzed by the method of stepwise discriminate analysis.The results show that: first derivative of log(R) and vegetation indices were efficient for the discrimination of these two trees,and the accuracies reached 96.67% and 89.17%,respectively.The characteristic bands for discriminating the two trees were 490~499 nm,500~519 nm,560~579 nm,610~619 nm,630~649 nm,680~700 nm,710~719 nm,770~779 nm.The bands of 430,445,550,680,700,705,750 nm composed the vegetation indices for the discrimination of the two conifer species.

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