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遥感图像计算机分类方法的研究
引用本文:王国芳. 遥感图像计算机分类方法的研究[J]. 山西农业科学, 2009, 37(10): 39-41
作者姓名:王国芳
作者单位:山西农业大学资源与环境学院,山西太谷,030801
摘    要:对传统统计分类方法和基于新算法的神经网络、模糊、专家系统、SVM、面向对象等分类方法及优、缺点进行了综述,并对分类中常用的辅助处理技术作了总结。最后,展望了遥感分类研究的发展趋势和前景。

关 键 词:遥感  图像分类  分类方法

Research on Methods of Computer Classification to Remote Sensing Image
WANG Guo-fang. Research on Methods of Computer Classification to Remote Sensing Image[J]. Journal of Shanxi Agricultural Sciences, 2009, 37(10): 39-41
Authors:WANG Guo-fang
Affiliation:WANG Guo-fang (College of Resources and Environment , Shanxi Agricultural University, Taigu 030801 ,China)
Abstract:Based on the new classification method of algorithm's neural networks, fuzzy, the expert system, SVM, object-oriented and so on, and the advantages and disadvantages points of the traditional statistics taxonomic approach and the commonly used auxiliary processing technology in classification were summarized. Finally, development trend of the remote sensing classification research has been forecasted and prospected.
Keywords:Remote sensing  Image classification  Classification method
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