A Concise Survey of G4U
Dong Li, Yunhua Zhang, Liting Liang

TL;DR
This paper surveys the development, applications, and evaluations of the G4U four-component decomposition method in remote sensing, highlighting its influence and recent improvements across various environmental and earth surface studies.
Contribution
It provides a comprehensive literature review of 137 studies on G4U, categorizing its usage, improvements, and applications in remote sensing and environmental analysis.
Findings
G4U is widely cited as a state-of-the-art decomposition method.
Numerous studies have improved and adapted G4U for specific applications.
G4U has significant impact in remote sensing of natural and man-made environments.
Abstract
The general four-component model-based decomposition with unitary transformation of coherency matrix (G4U) is a state-of-the-art four-component decomposition, which has received extensive attentions recently. A literature survey is carried out to indicate the overall influence, improvement, development, evaluation, and application of G4U. Totally, 137 literatures are found mentioning G4U in Google Scholar\c{opyright} until October 7, 2019, which can be attributed into 4 categories in terms of the degree of concentration and 17 subcategories according to the focus of attention. Among these literatures, 61 of them simply mention G4U mainly because it is a new four-component model-based decomposition, a typical model-based decomposition, or even a target decomposition. There are also 9 literatures which improve G4U and develop G4U-like decompositions with unitary transformation of…
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Taxonomy
TopicsAdvanced Image Fusion Techniques · Remote-Sensing Image Classification · Image Enhancement Techniques
