| 基于ENVI的遥感图像监督分类方法比较研究 |
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| 引用本文： | 闫琰,董秀兰,李燕.基于ENVI的遥感图像监督分类方法比较研究[J].北京测绘,2011(3):14-16. |
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| 作者姓名： | 闫琰 董秀兰 李燕 |
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| 作者单位： | 安徽理工大学测绘学院,安徽淮南,232001 |
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| 摘 要： | 基于监督分类方法在遥感影像分类中的普遍应用,介绍了四种ENVI提供的常用的监督分类方法。对同一TM图像运用这四种方法进行分类,并对分类结果进行了对比,从而分析了这四种方法分类精度之间的差异。
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| 关 键 词： | 遥感 图像分类 最小距离法 最大似然法 神经网络 支持向量机 |
The Comparative Study of Remote Sensing Image Supervised Classification Methods Based on ENVI |
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| YAN Yan,DONG Xiu-lan,LI Yan.The Comparative Study of Remote Sensing Image Supervised Classification Methods Based on ENVI[J].Beijing Surveying and Mapping,2011(3):14-16. |
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| Authors: | YAN Yan DONG Xiu-lan LI Yan |
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| Institution: | (Anhui University of science and technology,Huainan,Anhui,232001,China) |
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| Abstract: | This paper describes four commonly used methods of supervised classification ENVI provides,based on the universal application of supervised classification in remote sensing image classification.The same TM image is classified using four methods,the result was analyzed essentially.Therefore,the paper analyzes the difference between the classification accuracy of these four methods. |
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| Keywords: | remote sensing image classification minimum distance maximum likelihood neural net support vector machine |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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