Remote Sensing Image Sharpening by Integrating Multispectral Image Super-Resolution and Convolutional Sparse Representation Fusion

In remote sensing, it is quite necessary to fuse spectral information of low-resolution multispectral (LRMS) images and spatial information of panchromatic (PAN) images for obtaining high-resolution multispectral (HRMS) images. In this paper, an effective fusion method integrating multispectral (MS)...

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Veröffentlicht in:	IEEE access 2019, Vol.7, p.46562-46574
Hauptverfasser:	Wu, Honglin, Zhao, Shuzhen, Zhang, Jianming, Lu, Chaoquan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computer vision convolutional sparse representation (CSR) Dictionaries Image enhancement Image fusion Image processing Image resolution Iterative algorithms Landsat satellites learned iterative shrinkage and thresholding algorithm (LISTA) Neural networks Remote sensing Remote sensing fusion Representations Sharpening Spatial data Spatial resolution super-resolution Transforms Visual effects
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