In this paper, an improved method for multi-spectral and panchromatic remote sensing image fusion was proposed. The method proposed was inspired by the traditional wavelet and IHS based fusion framework. The Contourlet transformation was utilized and a novel fusion strategy was presented, with the purpose of extracting the luminance component of the multispectral image and conducting the Contourlet transformation on the luminance component and the panchromatic images. The fusion strategy for the low-frequency component is to adjust adaptively, while the high-frequency is threshold-controlled based on the structure similarity. Extensive experiments show that the method proposed in this paper can effectively extract the spatial information from the panchromatic image, which is not present in the multi-spectral image. The quantitative evaluation results also suggest that the resultant image has a higher correlation coefficient with the original image and smaller spectral distortion degrees in comparison with images of the conventional methods. In addition, the information entropy and the standard deviations are also superior. Besides, the proposed method is to a certain extent practical.
李文静, 温文鹏, 王清和. 基于Contourlet变换的遥感图像融合方法研究[J]. 国土资源遥感, 2015, 27(2): 44-50.
LI Wenjing, WEN Wenpeng, WANG Qinghe. A study of remote sensing image fusion method based on Contourlet transform. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(2): 44-50.
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