Remote Sensing Image Fusion Based on Sparse Representation and Guided Filtering

Remote Sensing Image Fusion Based on Sparse Representation and Guided Filtering

In this paper, a remote sensing image fusion method is presented since sparse representation (SR) has been widely used in image processing, especially for image fusion. Firstly, we used source images to learn the adaptive dictionary, and sparse coefficients were obtained by sparsely coding the sourc...

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Bibliographic Details
Main Authors: Xiaole Ma, Shaohai Hu, Shuaiqi Liu, Jing Fang, Shuwen Xu
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Electronics
Subjects:
image fusion
sparse representation
hyperbolic tangent function
guided filter
Online Access:http://www.mdpi.com/2079-9292/8/3/303

Internet

http://www.mdpi.com/2079-9292/8/3/303

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