研究遥感图像融合优化问题,由于多通道,遥感图像和多光谱图像融合技术受到采集的图像信息精度和分辨率不同的影响,使图像的清晰度降低.为了有效提高遥感图像的分辨率,提出了一种空间模式聚类和小波分析相结合的遥感图像融合新算法.首先采用小波分析对待融合图像进行小波分解,并选择不同的融合规则对小波分解后的不同高低频率重构,然后对融合后的边缘模糊图像区域采用基于空间模式聚类方案进行合并.实验给出了两组遥感图像,仿真结果表明,通过与常用的几种图像融合算法相比,改进的遥感图像融合算法最大限度地保留多波段光谱信息,提高了分辨率,具有一定的实用性.%Research remote sensing image fusion optimization problem. Multi-spectral remote sensing images and image fusion techniques are widely used to obtain high spatial resolution multi - spectral image information used for military aviation and other fields. In order to effectively improve the resolution of remote sensing images, a model is put forward based on poly space combination of class and the wavelet analysis of remote sensing image fusion algorithm. First, wavelet decomposition is carried out with the fused images, and the different fusion rules are selected to reconstruct the images with different frequencies. Then the edge blurred fusion image are merged, based on spatial pattern of regional clustering program. Remote sensing images are given two sets of experiments. Simulation results show that compared with several popular image fusion algorithms, the improved remote - sensing image fusion algorithm can farthest retain the multi-band spectral information.
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