| 航空影像纹理分类的最小二乘法和问题的分析 |
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| 引用本文： | 郑肇葆,黄桂兰.航空影像纹理分类的最小二乘法和问题的分析[J].测绘学报,1996,25(2):121-126. |
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| 作者姓名： | 郑肇葆 黄桂兰 |
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| 作者单位： | 武汉测绘科技大学 |
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| 摘 要： | 本文介绍航空影像理分类的最小二乘法原理和算法，该方法是建立在影像纹理ＭＲＦ参数测定的基础上，七种航空影像纹理的试验表明这种分类是有效的。通过对影像纹理的分形维以及影像分辨力对纹理分类的影响分析，表明采用了多重信息可以提高分类的正确率。
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| 关 键 词： | 航空影像 纹理 分类 最小二乘法 问题探讨 |
USING LEAST SQUARE METHOD FOR TEXTURE CLASSIFICATION OF AERIAL IMAGE AND ANALYSING SOME RELATIVE PROBLEMS |
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| Zheng Zhaobao,Huang Guilan.USING LEAST SQUARE METHOD FOR TEXTURE CLASSIFICATION OF AERIAL IMAGE AND ANALYSING SOME RELATIVE PROBLEMS[J].Acta Geodaetica et Cartographica Sinica,1996,25(2):121-126. |
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| Authors: | Zheng Zhaobao Huang Guilan |
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| Abstract: | This paper introduces the principle and algorithm of least square method which was used in texture classification of aerial image. This method based on the determining MRF (Markov Random Field) parameters of image texture. We used 7 kinds of aerial image to test this method. The facts have proved that the method is very effective. We also made some analysis of the effect of both fractal dimension and image resolution of the texture classification, it also proved that multiple information could increase the accuracy of classification. |
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| Keywords: | Texture classification Markov random field Fractal dimention Image resolution Least square method |
| 本文献已被 CNKI 维普 等数据库收录！ |
