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Research on Remote Sensing Image Fusion Based on Compressive Sensing Algorithm
2018
Journal of Computers
Compressive sensing (CS) theory is a new type of sampling theory based on information technology. It breaks through the limitations of traditional Nyquist/Shannon sampling theorem, and reconstructs a signal or digital image at a far lower sampling rate. In this paper, we present an efficient remote sensing fusion method based on compressive sensing. First, a sparse model according to the wavelet-based algorithm is used on the panchromatic image and the multispectral image separately. Then the
doi:10.17706/jcp.13.5.519-526
fatcat:vmun6dfdq5daxjqyf4qara3g3u