A Pansharpening Approach Based on Multiple Linear Regression Estimation of Injection Coefficients-Reference-Cited by-同舟云学术

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A Pansharpening Approach Based on Multiple Linear Regression Estimation of Injection Coefficients

Published:2020-01 Issue:1 Volume:17 Page:102-106
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Restaino Rocco^ORCID,Vivone Gemine^ORCID,Addesso Paolo^ORCID,Chanussot Jocelyn^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/8944133/08717622.pdf?arnumber=8717622

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Remote sensing image pan-sharpening via Pixel difference enhance;International Journal of Applied Earth Observation and Geoinformation;2024-08

2. Improving Gram–Schmidt Adaptive Pansharpening Method Using Support Vector Regression and Markov Random Field;Journal of the Indian Society of Remote Sensing;2024-07-02

3. Pan-Sharpening Network of Multi-Spectral Remote Sensing Images Using Two-Stream Attention Feature Extractor and Multi-Detail Injection (TAMINet);Remote Sensing;2023-12-24

4. Spectral Profile Partial Least-Squares (SP-PLS): Local multivariate pansharpening on spectral profiles;ISPRS Open Journal of Photogrammetry and Remote Sensing;2023-12

5. CMVFTA: Optimal regression and deep maxout with optimization algorithm for pan-sharpening;International Journal of Wavelets, Multiresolution and Information Processing;2023-09-05

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