关键词: 草地植物, 光谱特征, 识别参数, 筛选, Fisher判别

Abstract: In order to obtain the best identification parameters of the main plants in the desert grassland of Seriphidium transillense,images of community were collected by SOC710 VP imaging spectrometer in April,Seriphidium transillense, Ceratocarpus arenarius,Petrosimonia sibirica and bare land were extracted as recognition objects,Identification parameters were selected based on spectral response and peak-valley characteristics,including eight position parameters,two area parameters and four vegetation indexes,the sensitive parameters were selected one by one according to the significance difference of variance analysis,and the fisher discriminant model was used for accuracy verification. The results show that:The reflectance of four kinds of recognition objects showed different characteristics in visible and near infrared band;The Red Valley position,red edge position,Red Valley amplitude,blue edge area,NDVI₁,RVI₁ and RVI₂ were used for discrimination,the discrimination accuracy of the four objects was 91.11% for S. transiliense,80.56% for C. arenarius,91.11% for P. sibirica,100% for bare land,and 92.13% for total accuracy. Therefore,a discriminant model based on these identification parameters is useful for further quantitative species classification of community images.

Key words: Grassland plants, Spectral characteristics, Identification parameters, Screening, Fisher discriminant