SAR and Landsat ETM+ image fusion using variational model

Multispectral and synthetic aperture radar (SAR) image fusion is one of the most complex tasks to perform integration of multi-source remotely sensed imagery. Fusion of SAR and optical remote sensing image, with highly complementary characteristics, may contribute to a better understanding of the objects with the imaged scene and finally benefit to application such as precision farming/ agricultural. In this paper, we adopt a variational model to fuse SAR imagery and multispectral imagery. Experimental results on Cosmo-Skymed SAR and Landsat-7 Enhanced Thematic Mapper Plus (ETM+) satellite images of an urban area, demonstrate accurate spectral preservation, which is indicated by high correlation between original multispectral and fused bands.