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基于加权相关矩的多传感器图像融合方法
Multi-sensor Image Fusion Based on Weight Correlation Moment
【摘要】 针对遥感多光谱图像和全色图像的融合问题,提出了一种基于局部区域特征的多分辨率图像融合方法。该方法首先对图像进行二维小波变换,然后根据高频小波系数的一阶、二阶统计特征来计算加权相关矩,从而得到包含更多信息和有效特征的融合图像。试验结果证明融合图像在保留地物光谱信息和提高空间细节表现能力上都具有很好的效果。
【Abstract】 A major problem in using multispetral images is the low spatial resolution.In order to overcome that problem,an(image) fusion method based on the locally regional features is proposed in this paper.After 2-D wavelet decomposition the weight correlation moment model is defined by means of statistic first order and second order moment of those wavelet coefficients with high frequency component under different resolutions.The experiments prove the fused images obtain better results for further application in terms of both preserving spectral information and improving spatial resolution of the multiresolution images.
【Key words】 Wavelet Decomposition; Weight Correlation Moment; Image Fusion;
- 【文献出处】 计算机应用研究 ,Application Research of Computers , 编辑部邮箱 ,2005年12期
- 【分类号】TP75;
- 【被引频次】7
- 【下载频次】226