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Wavelet transform a

机译:小波变换

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摘要

Abstract: On the basis of the reciprocal characteristic of SAR image and optical image, two new image fusion algorithms based on the wavelet transformation is presented to implement fusion of SAR image and optical image. The first method of image fusion presented in the paper is that the wavelet transform decomposition of SAR image and optical image is finished, then compare their decomposition coefficient in order to get the bigger decomposition coefficient regarded as the new decomposition coefficient, and use the method of reconstruction to get a new fusion image. The second method of image fusion presented in the paper is that apply the wavelet decomposition to SAR image and optical image, get the high frequence information of wavelet transformation of SAR image and the detail information of wavelet transformation of SAR image and the detail information of wavelet transformation of optical image, then compose a new decomposition coefficient and get a new fusion image. Both of these method achieve better results in experiment, the first method is prior to the second method. !14
机译:摘要:基于SAR图像和光学图像的倒数特性,提出了基于小波变换的两个新的图像融合算法,以实现SAR图像和光学图像的融合。本文呈现的第一图像融合方法是,SAR图像和光学图像的小波变换分解完成,然后比较它们的分解系数,以使其更大的分解系数被认为是新的分解系数,并使用该方法重建以获得新的融合图像。纸张中呈现的第二种图像融合方法是将小波分解应用于SAR图像和光学图像,获得SAR图像的小波变换的高频率信息和SAR图像的小波变换的细节信息和小波的详细信息光学图像的转换,然后撰写新的分解系数并获得新的融合图像。这两种方法在实验中实现了更好的结果,第一方法是在第二种方法之前。 !14

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