Review of the pansharpening methods for remote sensing images based on the idea of meta-analysis: Practical discussion and challenges
Review of the pansharpening methods for remote sensing images based on the idea of meta-analysis: Practical discussion and challenges
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基于荟萃分析思想的遥感图像全色锐化方法综述：实践讨论与挑战
DOI：
10.1016/j.inffus.2018.05.006
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发表时间：
2019-03
影响因子：
18.6
通讯作者：
i Fu
中科院分区：
文献类型：
--
作者：
Xiangchao Meng;Huanfeng Shen;Huifang Li;Liangpei Zhang;R;i Fu
本文全面回顾了磨盘方法从传统认识到现代认识的发展历程。此外，基于元分析的思想，对2000年至2016年开发的不同类别的pansharpening方法的性能进行了评估。这是通过对已发表的研究进行统计分析来创新地完成的。在拟议方案中，根据严格的选择标准，从1000多篇文章中选出48篇具有代表性的文章进行统计分析。本文旨在对磨盘方法进行全面回顾，并重点介绍从传统认识到现代认识的发展过程。此外，实验是基于元分析的思想，从一个新的角度进行的。
In this paper, the development of pansharpening methods from traditional understanding to the current understanding is comprehensively reviewed. Furthermore, the performance of the different categories of pansharpening methods developed between 2000 and 2016 is evaluated based on the idea of meta-analysis. This is innovatively performed by making a statistical analysis of the studies ever published. In the proposed scheme, based on strict selection criteria, 48 representative articles, which were selected from more than 1000 articles, were applied for the statistical analysis. This paper aims to provide a holistic review of the pansharpening methods, and highlights the development process from the traditional understanding to the current understanding. In addition, the experiments were implemented from a new perspective based on the idea of meta-analysis.
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影响因子：
6.7
作者：
Dong, Wenjie;Xia, Jiangzhou;Liu, Dan;Chen, Yang
通讯作者：
Chen, Yang
影响因子：
10.6
作者：
Shen, Huanfeng;Zhang, Liangpei;Li, Pingxiang
通讯作者：
Li, Pingxiang
影响因子：
8.2
作者：
Qizhi Xu;Bo Li;Yun Zhang;L. Ding
通讯作者：
Qizhi Xu;Bo Li;Yun Zhang;L. Ding
从贝叶斯角度重新审视图像融合方法
影响因子：
5
作者：
Zhang Hankui K.;Huang Bo
通讯作者：
Huang Bo
用于全色锐化的空间 Hessian 特征引导变分模型
影响因子：
8.2
作者：
Liu Pengfei;Xiao Liang;Zhang Jun;Naz Bushra
通讯作者：
Naz Bushra