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《Journal of Northeast Forestry University》 2010-09
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Crown Extraction from Large-scale Aerial Orthophotos

Li Chao,Yue Shufeng,Wang Shenglei,Wang Xupeng,Liu Yinbang,Li Fengri (School of Forestry,Northeast Forestry University,Harbin 150040,P.R.China)  
In order to improve the classification accuracy of aerial photographs,spectral characteristics and texture features of Korean pine crown were extracted on the basis of 1:8000 orthophoto and digital elevation model (DEM) of Liangshui National Nature Reserve and the characteristics of habitat and site conditions of Korean pine.A set of crown image recognition models of Korean pine was constructed by analyzing the mechanism of the traditional non-supervised,supervised and expert classifications.After classification,the accuracy of pattern matching results was validated by the analytic method of confusion matrix.Results showed that the image recognition model of Korean pine could effectively reduce the phenomena of the same object with different spectrum and different objects with the same spectrum in classification.The total accuracy of this method was 96% and enhanced by 10%,compared with that of the supervised classification.The classification accuracy of large-scale forest aerial photographs reached the level of individual tree extraction.
【Fund】: 国家教育部本科生创新项目(091022503)
【CateGory Index】: P237
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