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航空影像纹理分类的最小二乘法和问题的分析
USING LEAST SQUARE METHOD FOR TEXTURE CLASSIFICATION OF AERIAL IMAGE AND ANALYSING SOME RELATIVE PROBLEMS
【摘要】 本文介绍航空影像纹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方法是有效的。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,表明采用多重信息可以提高分类的正确率
【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.
【关键词】 纹理分类;
马尔柯夫场;
分形维影像分辨力;
最小二乘法;
【Key words】 Texture classification; Markov random field; Fractal dimention; Image resolution; Least square method.;
【Key words】 Texture classification; Markov random field; Fractal dimention; Image resolution; Least square method.;
【基金】 国家自然科学基金
- 【文献出处】 测绘学报 ,ACTA GEODAETICA ET CARTOGRAPHICA SINICA , 编辑部邮箱 ,1996年02期
- 【分类号】P231.1
- 【被引频次】19
- 【下载频次】154