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基于Mann-Whitney非参数检验和SVM的竹类高光谱识别
作者姓名:Chen YG  Ding LX  Ge HL  Zhang MZ  Hu Y
作者单位:浙江农林大学,浙江省森林生态系统碳循环与固碳减排重点实验室,环境科技学院,浙江临安311300
基金项目:国家自然科学基金项目(30771725,30972360); 浙江省教育厅项目(Y201017891)资助
摘    要:以毛竹、雷竹和孝顺竹野外高光谱数据为基础,在非参数统计理论和模式识别的基础上,提出了利用Mann-Whitney非参数检验筛选竹类间最佳特征区分波段及利用支持向量机识别竹类的问题.研究结果表明:(1)毛竹与雷竹之间的最佳区分波段为503~655,689~732,757~1 000,1 038~1 084,1 238~1...

关 键 词:Mann-Whitney检验  高光谱  SVM  竹亚科

Hyperspectral bambusoideae discrimination based on Mann-Whitney non-parametric test and SVM
Chen YG,Ding LX,Ge HL,Zhang MZ,Hu Y.Hyperspectral bambusoideae discrimination based on Mann-Whitney non-parametric test and SVM[J].Spectroscopy and Spectral Analysis,2011,31(11):3010-3013.
Authors:Chen Yong-Gang  Ding Li-Xia  Ge Hong-Li  Zhang Mao-Zhen  Hu Yun
Institution:CHEN Yong-gang,DING Li-xia,GE Hong-li,ZHANG Mao-zhen,HU Yun Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration,College of Environmental Science and Technology,Zhejiang Agriculture and Forestry University,Lin'an 311300,China
Abstract:In the present study,based on the leaf-level hyperspectral data of MaoZhu,LeiZhu and XiaoShunZhu,We come up with two solutions to discrimination through the theory of non-parametric test and pattern recognition;the first one is that optimal discriminating band between bambusoideae species is extracted by Mann-Whitney non-parametric test,the other is that bambusoideae species is discriminated by the support vector machine.The research results showed that(1) the optimal discriminating band between MaoZhu and ...
Keywords:Mann-Whitney test  Hyperspectral  SVM  Bambusoideae  
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