[Hyperspectral Bambusoideae discrimination based on Mann-Whitney non-parametric test and SVM].

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 LeiZhu is around 503~655,689~732,757~1 000,1 038~1 084,1 238~1 311,1 404~1 591,1 682~1 800,1 856~1 904,and 1 923~2 500 nm;the optimal discriminating band between MaoZhu and XiaoShunZhu is around 350~386,731~1 430,1 584~1 687,and 1 796~1 873 nm;the optimal discriminating band between LeiZhu and XiaoShunZhu is around 355~356,498~662,689~745,and 1 344~2 500 nm;and it can eliminate 30.0%,57.7%,and 35.8% of the invalid distinction between bands by Mann-Whitney non-parametric test method.(2) In these optimal discriminating bands,we found that the accuracy of bambusoideae discrimination is 98.4%,93.5%,and 95.1%,the generalization accuracy is 93.3%,90.0%,and 86.7% by sequential minimal optimization algorithm.It indicates that this method is valid for selecting feature band and discriminating bambusoideae species.