| 利用分形特征量提高土地覆盖分类图精度的研究 |
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| 引用本文： | 塔西浦拉提·特依拜.利用分形特征量提高土地覆盖分类图精度的研究[J].遥感学报,1994(2). |
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| 作者姓名： | 塔西浦拉提·特依拜 |
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| 作者单位： | 新疆大学地理系 |
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| 摘 要： | 为了提高利用卫星图像编制土地覆盖分类图的精度，本研究提出将空间信息（结构特征量、分形特征量）叠加到光谱信息上（原图像），以提高分类精度的方法。利用ＳＰＯＴＨＲＶ图像对此法进行了检验，设立了９个探讨项目，对分类精度进行了比较。结果表明，用分形特征量进行分类时ＰＣＣ从８８．１％上升到了９０．２％。
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| 关 键 词： | 结构特征量，分形特征量，分类精度，PCC |
ON ACCURACY OF THE LAND COVEK CLASSIFICATION IN CASE OF USING FRACTAL FEATUE |
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| Abstract: | The objective of this study is to evaluate the land cover classificationaccuracy for incorporating the effective spatial information such as texture and fra-ctal features into spectral information. It has been tested using SPOT HRV multi-spectral data.9 cases have been used to evaluate the approach and the classificationaccuracies have been compared.As a result,PCC(Probability of Correct Classifica-tion)is increased from 88.1% to 90.2% by incorporating fractal features. |
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| Keywords: | Texture feature Fractal feature Classification accuracy PCC |
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