| 基于小波变换的CBERS-02图像薄云薄雾去除的方法研究 |
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| 引用本文： | 郭向前.基于小波变换的CBERS-02图像薄云薄雾去除的方法研究[J].测绘科学,2008(Z1). |
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| 作者姓名： | 郭向前 |
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| 作者单位： | 河南省地质测绘总院 |
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| 摘 要： | 大气活动的干扰是遥感技术发展的最大限制之一,对星载的可见光、近红外波段的光学探测器而言,大气中云雾的干扰更是不易处理。为了促进CBERS-02星CCD传感器图像的定量化应用,在对以往有关遥感图像薄云去处方法的研究的基础上,本文提出了对含薄云的CBERS-02 CCD图像进行适当层次的小波分解,然后对分解的图像进行同态滤波,最后进行图像重构而去除薄云的方法。试验结果表明,该方法既能有效的去除薄云,又可较好的保持图像细节。
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| 关 键 词： | 小波变换 同态滤波 薄云去除 CBERS-02 CCD |
The study of removal of thin cloud in CBERS-02 CCD based on the wavelet transform |
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| Abstract: | The main limit of remote sensing is atmospheric effects.The effects of atmospheric on visual bands and near infrared are more serious,and the effect of thin cloud is most hard to remove.This paper introduce a way to remove the thin cloud of CBERS- 02 CCD,first decompose the image of CCD,and then homomorphic filter the image of decomposed,last reconstruct the image of en- hanced.Experimental results show that this removal thin cloud method is effective both in reserving the detail and in removing the thin cloud. |
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| Keywords: | wavelet transform homomorphic filter removal thin cloud CBERS-02 CCD |
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