A new pansharpening method based on the sparse representation of classified injected details over a featured dictionary-Reference-Cited by-同舟云学术

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A new pansharpening method based on the sparse representation of classified injected details over a featured dictionary

Published:2021-06-20 Issue:8 Volume:12 Page:808-818
ISSN:2150-704X
Container-title:Remote Sensing Letters
language:en
Short-container-title:Remote Sensing Letters

Author:

Fei Rongrong¹²,Zhang Xuande¹,Li Wan¹,Xiong Jing¹,Du Fang³

Affiliation:

1. School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi’an, Shaanxi, P.R.China

2. Shaanxi Joint Laboratory of Artificial Intelligence, Shaanxi University of Science and Technology, Xi’an, Shaanxi, P.R.China

3. School of Science, Chang’an University, Xi’an, Shaanxi, P.R.China

Funder

National Key Research and Development Program

Natural Science Foundation of Shannxi Province, China

Shaanxi Provincial Department of Education

National Science Foundation of China

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2021.1939904

Reference25 articles.

1. MTF-tailored Multiscale Fusion of High-resolution MS and Pan Imagery

2. Improving Component Substitution Pansharpening Through Multivariate Regression of MS $+$Pan Data

3. A Global Quality Measurement of Pan-Sharpened Multispectral Imagery

4. Multispectral and Panchromatic Data Fusion Assessment Without Reference

5. Comparison of Pansharpening Algorithms: Outcome of the 2006 GRS-S Data-Fusion Contest

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