Remote sensing image fusion based on average gradient of wavelet transform
Remote sensing image fusion based on average gradient of wavelet transform
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DOI：
10.1109/icma.2005.1626836
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发表时间：
2005-07
期刊：
影响因子：
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通讯作者：
Jin Wu;Honglin Huang;Ya Qiu;Huaiyu Wu;J. Tian;Jian Liu
中科院分区：
文献类型：
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作者：
Jin Wu;Honglin Huang;Ya Qiu;Huaiyu Wu;J. Tian;Jian Liu
图像融合是增强遥感图像信息的重要技术之一。为了充分利用SPOT全色图像和Landsat三波段多光谱图像等多种遥感图像信息，提出了一种基于小波变换平均梯度的遥感图像融合方法。在融合过程中，采用加权平均的方法得到融合后的近似系数。对于每个分解后的近似系数的平均梯度较大的，我们选择一个大的幂因子。另一个近似系数选择一个小的。通过将每个系数设置为等于具有最大平均梯度的对应输入图像小波系数来获得融合的细节系数。提出了信息熵和图像清晰度作为定量评价标准来评价该方法和其他一些方法。实验结果的可视化和统计分析表明，该融合方法比文中提到的其他方法更有效。
Image fusion is one of the important techniques to enhance image information of remote sensing. In order to adequately make use of all kinds of remote sensing images information such as SPOT Panchromatic and three-band Landsat multi-spectral images, a novel remote sensing image fusion scheme based on average gradient of wavelet transform is proposed. In the fusion processing, the fused approximate coefficients are obtained with weighted average method. For the bigger average gradient of the each decomposed approximate coefficient, we choose a big power gene. The other approximate coefficient chooses a small one. The fused detailed coefficients are obtained by setting each coefficient equal to the corresponding input image wavelet coefficient that has the greatest average gradient. The information entropy and the image clarity are proposed as the quantitative evaluation criteria to assess this proposed method and some other methods. The visual and statistical analyses of experimental results show that the proposed fusion method is more effective than the other methods mentioned in this paper.