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The method of remote sensing image classification based on ERDAS

WANG Chong-chang,GUO Jian,WU Wen-bo(School of Geomatics,Liaoning Technical University,Fuxin 123000,China)  
To improve remote sensing image classification accuracy,analysis is made on the mechanism of the traditional unsupervised classification,supervised classification and expert classification.It puts forward the technological program of using the image texture information as the expert knowledge to improve the classification accuracy.Using the QuickBird remote sensing image of Jiaozhou city as the trial data,based on the software platform of ERDAS IMAGINE 8.6,the test data indicates that the classification accuracy of advanced expert classification method is the best,because that texture information participates in the expert classification,which better solves the classification disturbance of different objects with the same spectrum and the same objects with the different spectrums.
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