| 基于小波的高分辨率遥感影像纹理分类方法研究 |
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| 引用本文： | 黄昕,张良培,李平湘.基于小波的高分辨率遥感影像纹理分类方法研究[J].武汉大学学报(信息科学版),2006,31(1):66-69. |
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| 作者姓名： | 黄昕 张良培 李平湘 |
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| 作者单位： | 武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号,430079 |
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| 摘 要： | 在基于小波的纹理分类算法的基础上，提出了逐点特征加权和活动窗口算法，使小波纹理分析能够用于高分辨率遥感影像的分类。逐点特征加权算法用样本的均值和方差构造偏离量，对纹理特征进行自适应加权。实验结果表明，本文提出的算法能够有效地提高分类精度．使地物的内部和边缘的分类效果都得到改善。
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| 关 键 词： | 小波变换 高分辨率 逐点特征加权 |
| 文章编号： | 1671-8860(2006)01-0066-04 |
| 修稿时间： | 2005年10月13 |
Methods for Classification of the High Spatial Resolution Remotely Sensed Images Based on Wavelet Transform |
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| HUANG Xin,ZHANG Liangpei,LI Pingxiang.Methods for Classification of the High Spatial Resolution Remotely Sensed Images Based on Wavelet Transform[J].Geomatics and Information Science of Wuhan University,2006,31(1):66-69. |
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| Authors: | HUANG Xin ZHANG Liangpei LI Pingxiang |
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| Abstract: | This paper discusses the shortage of conventional algorithms of texture classification based on wavelet transform,presents two improved approaches of point feature weighting and smart windows.The point feature weighting algorithm constructs the deviation vector using means and variances of samples,and uses the deviation vector to restrain the feature units which do harm to the classification accuracy.The subsequent experiment results show that the performance of the presented algorithm is much better than the conventional one. |
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| Keywords: | wavelet transform high spatial resolution point feature weighting |
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