Spatiotemporal Fusion of Remote Sensing Images with Structural Sparsity and Semi-Coupled Dictionary Learning

Spatiotemporal Fusion of Remote Sensing Images with Structural Sparsity and Semi-Coupled Dictionary Learning

Fusion of remote sensing images with different spatial and temporal resolutions is highly needed by diverse earth observation applications. A small number of spatiotemporal fusion methods using sparse representation appear to be more promising than traditional linear mixture methods in reflecting ab...

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Bibliographic Details
Main Authors: Jingbo Wei, Lizhe Wang, Peng Liu, Weijing Song
Format: Article
Language:English
Published: MDPI AG 2016-12-01
Series:Remote Sensing
Subjects:
remote sensing
image fusion
Landsat-7
MODIS
spatiotemporal fusion
dictionary learning
reflectance
structural sparsity
Online Access:http://www.mdpi.com/2072-4292/9/1/21

Internet

http://www.mdpi.com/2072-4292/9/1/21

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