| 基于最佳小波包基的高光谱影像特征制图 |
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| 引用本文： | 杨可明,李慧,郭达志.基于最佳小波包基的高光谱影像特征制图[J].测绘学报,2008,37(1):0-113. |
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| 作者姓名： | 杨可明 李慧 郭达志 |
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| 作者单位： | 中国矿业大学(北京)3S与沉陷工程研究所,北京,100083;中国矿业大学(北京)3S与沉陷工程研究所,北京 100083;中国科学院遥感应用研究所,北京 100101 |
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| 基金项目： | 国防科技工业民用专项科研技术研究项目 |
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| 摘 要： | 鉴于在时频局部化能力方面小波包变换优于小波变换,将高光谱影像像元光谱曲线作为1维信号并对其进行多尺度小波包变换分解,得到不同尺度上的低频和高频成分向量。根据不同地物像元光谱小波包分解最佳基有很大差异,而同一地物像元光谱小波包分解的前若干个最佳基完全相同的特点,提出一种基于前若干个最佳小波包基特征参量数组的分类特征参量和目标识别方法,并对AVIRIS影像中的特征如地物植被、水体、岩石及某些阴影等进行提取与制图。
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| 关 键 词： | 高光谱遥感 小波包分解 最佳基 特征制图 |
| 文章编号： | 1001-1595（2008）01-0054-05 |
| 收稿时间： | 2007-02-05 |
| 修稿时间： | 2007-05-11 |
Feature Mapping of Hyperspectral Images Based on Best Basis of Wavelet Packet Decomposition |
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| YANG Ke-ming,LI Hui,GUO Da-zhi.Feature Mapping of Hyperspectral Images Based on Best Basis of Wavelet Packet Decomposition[J].Acta Geodaetica et Cartographica Sinica,2008,37(1):0-113. |
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| Authors: | YANG Ke-ming LI Hui GUO Da-zhi |
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| Abstract: | The wavelet packet transformation has better time-frequency localization ability compared with the wavelet transformation. The pixel spectral curves of hyperspectral images as one dimension signals were decomposed by multi-scale wavelet packet transformations, and acquired different-scale component vectors in low and high frequency signals. According to the fact that the pixel spectra of different objects have different bases of best wavelet packet but the pixel spectra of same features are identical ones in the first some best wavelet packet groups, and by means of the wavelet packet decomposition of the spectral features of some objects such as vegetation, water, rock and shadow, a new target identification method has been probed for mapping features based on the composition of the characteristic parameters of the first several best wavelet packet bases for each pixel spectrum. The experiment results show that the features to vegetation, water, rock and shadow on AVIRIS image can be identified and mapped. |
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| Keywords: | hyperspectral RS wavelet packet decomposition best wavelet packet basis feature mapping |
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