The fusion of panchromatic and multispectral remote sensing images via tensor-based sparse modeling and hyper-Laplacian prior-Reference-Cited by-同舟云学术

The fusion of panchromatic and multispectral remote sensing images via tensor-based sparse modeling and hyper-Laplacian prior

Published:2019-12 Issue: Volume:52 Page:76-89
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Deng Liang-Jian,Feng Minyu,Tai Xue-Cheng

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference67 articles.

1. Mapping forest degradation in the eastern amazon from SPOT 4 through spectral mixture models;Souza;Remote Sens. Environ.,2003

2. Comparison of pansharpening algorithms: outcome of the 2006 GRSS data fusion contest;Alparone;IEEE Trans. Geosci. Remote Sens.,2007

3. Challenges and opportunities of multimodality and data fusion in remote sensing;Dalla Mura;Proceedings of the 22nd European Signal Processing Conference (EUSIPCO),2014

4. Synthesis of multispectral images to high spatial resolution: a critical review of fusion methods based on remote sensing physics;Thomas;IEEE Trans. Geosci. Remote Sens.,2008

5. A critical comparison among pansharpening algorithms;Vivone;IEEE Trans. Geosci. Remote Sens.,2015

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