| Analysis of color distortion and optimum fusion for remote sensing images using the statistical property of wavelet decomposition |
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| 作者姓名： | 肖刚 Wang Shu |
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| 作者单位： | [1]Institute of Aerospace Science and Technology, Shanghai Jiaotong University, Shanghai 200030, P.R. China [2]College of Medical Instrument and Management College, University of Shanghai for Science and Technology, Shanghai 200093, P.R. China |
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| 基金项目： | 国家高技术研究发展计划(863计划)
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国家自然科学基金 |
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| 摘 要： | IHS （Intensity, Hue and Saturation） transform is one of the most commonly used tusion algonthm. But the matching error causes spectral distortion and degradation in processing of image fusion with IHS method. A study on IHS fusion indicates that the color distortion can＇t be avoided. Meanwhile, the statistical property of wavelet coefficient with wavelet decomposition reflects those significant features, such as edges, lines and regions. So, a united optimal fusion method, which uses the statistical property and IHS transform on pixel and feature levels, is proposed. That is, the high frequency of intensity component Ⅰ is fused on feature level with multi-resolution wavelet in IHS space. And the low frequency of intensity component Ⅰ is fused on pixel level with optimal weight coefficients. Spectral information and spatial resolution are two performance indexes of optimal weight coefficients. Experiment results with QuickBird data of Shanghai show that it is a practical and effective method.
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| 关 键 词： | 遥感图象 图象融合 优化 多分辨率小波 统计学性质 彩色失真 |
| 收稿时间： | 2004-07-25 |
Analysis of color distortion and optimum fusion for remote sensing images using the statistical property of wavelet decomposition |
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| Xiao Gang,Wang Shu.Analysis of color distortion and optimum fusion for remote sensing images using the statistical property of wavelet decomposition[J].High Technology Letters,2006,12(4):397-402. |
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| Authors: | Xiao Gang Wang Shu |
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| Abstract: | IHS (Intensity, Hue and Saturation) transform is one of the most commonly used fusion algorithm. But the matching error causes spectral distortion and degradation in processing of image fusion with IHS method. A study on IHS fusion indicates that the color distortion can't be avoided. Meanwhile, the statistical property of wavelet coefficient with wavelet decomposition reflects those significant features, such as edges, lines and regions. So, a united optimal fusion method, which uses the statistical property and IHS transform on pixel and feature levels, is proposed. That is, the high frequency of intensity component I is fused on feature level with multi-resolution wavelet in IHS space. And the low frequency of intensity component I is fused on pixel level with optimal weight coefficients. Spectral information and spatial resolution are two performance indexes of optimal weight coefficients. Experiment results with QuickBird data of Shanghai show that it is a practical and effective method. |
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| Keywords: | color distortion multi-resolution wavelet remote sensing images IHS fusion statistical property optimal fusion feature level pixel level |
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