Luminance Learning for Remotely Sensed Image Enhancement Guided by Weighted Least Squares (Jul, 10.1109/LGRS.2021.3093935, 2021)

Journal article

Open access

Peer reviewed

Zhenghua Huang, Zifan Zhu, Qing An, Zhicheng Wang, Qin Zhou, Tianxu Zhang and Ali Saleh Alshomrani

IEEE geoscience and remote sensing letters, Vol.19

01/01/2022

Abstract

Engineering

Engineering, Electrical & Electronic

Geochemistry & Geophysics

Imaging Science & Photographic Technology

Physical Sciences

Remote Sensing

Science & Technology

Technology

url

https://doi.org/10.1109/LGRS.2021.3097477View

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Title: Luminance Learning for Remotely Sensed Image Enhancement Guided by Weighted Least Squares (Jul, 10.1109/LGRS.2021.3093935, 2021)
Creators - without role: Zhenghua Huang - Wuchang University of Technology
Zifan Zhu - Wuhan Institute of Technology
Qing An - Wuchang University of Technology
Zhicheng Wang - Wuhan Institute of Technology
Qin Zhou - Wuhan Donghu University
Tianxu Zhang - Wuhan Institute of Technology
Ali Saleh Alshomrani - King Abdulaziz University
Publication Details: IEEE geoscience and remote sensing letters, Vol.19
Publisher: IEEE
Number of pages: 1
Grant note: 61901309; 11975172 / National Natural Science Foundation of China; National Natural Science Foundation of China (NSFC)
Identifiers: 9937289308331
Academic Unit: King Abdulaziz University
Language: English
Resource Type: Journal article