Application of BS-GEP algorithm in Remote sensing Image classification

It is difficult for the Traditional statistical Remote sensing classification algorithm to get higher Classification accuracy under the condition of complex state. To solve this problem, BS-GEP algorithm is introduced to the study of remote Sensing image classification Problemsin this paper, to Avoid local converge NCE of the algorithm caused by the population diversity, the characteristic o f the traditional GEP, and solve the problem of getting higher classification Accuracy difficultly under the complex condition state. The experimental results have shown that classification rules based on the BS-GEP classifier can is converted into Mathema Tical expressions and obtain higher classification accuracy. Compared with GEP algorithm, the confused degreeof theclassification results are ivelyLow,and compared with maximum likelihood algorithm, the classification results are relatively clear. The classification accuracy of the classifier has been reached to.