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A New Pansharpening Method Based on Spatial and Spectral Sparsity Priors
IEEE Transactions on Image Processing
The development of multisensor systems in recent years has led to great increase in the amount of available remote sensing data. Image fusion techniques aim at inferring high quality images of a given area from degraded versions of the same area obtained by multiple sensors. This paper focuses on pansharpening, which is the inference of a high spatial resolution multispectral image from two degraded versions with complementary spectral and spatial resolution characteristics: 1) a low spatialdoi:10.1109/tip.2014.2333661 pmid:24988595 fatcat:3z546remtfaphjfku5la4q3lmu