A Large-Scale Benchmark Data Set for Evaluating Pansharpening Performance: Overview and Implementation

被引：104

作者：

Meng, Xiangchao ^{[1
,2
]}

Xiong, Yiming ^{[1
]}

Shao, Feng ^{[1
]}

Shen, Huanfeng ^{[3
]}

Sun, Weiwei ^{[4
]}

Yang, Gang ^{[4
]}

Yuan, Qiangqiang ^{[5
]}

Fu, Randi ^{[1
]}

Zhang, Hongyan ^{[6
,7
]}

机构：

[1] Ningbo Univ, Fac Elect Engn & Comp Sci, Ningbo, Peoples R China

[2] Hunan Univ, Coll Elect & Informat Engn, Changsha, Peoples R China

[3] Wuhan Univ, Sch Resources & Environm Sci, Wuhan, Peoples R China

[4] Ningbo Univ, Dept Geog & Spatial Informat Tech, Ningbo, Peoples R China

[5] Wuhan Univ, Sch Geodesy & Geomat, Wuhan, Peoples R China

[6] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan, Peoples R China

[7] Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan, Peoples R China

来源：

IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE | 2021年 / 9卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Remote sensing; Benchmark testing; Spatial resolution; Satellites; Multiresolution analysis; MULTISENSOR IMAGE FUSION; PAN-SHARPENING METHOD; MULTIRESOLUTION ANALYSIS; INTENSITY MODULATION; LANDSAT TM; RESOLUTION; TRANSFORM; CHANNEL; MS;

D O I：

10.1109/MGRS.2020.2976696

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

Pansharpening aims to sharpen a lowspatial-resolution (LR) multispectral (MS) image using a high-spatial-resolution (HR) panchromatic (Pan) image to obtain the HR MS image. It has been a fundamental and active research topic in remote sensing, and pansharpening methods have been developed for nearly 40 years. While the performance evaluation of pansharpening methods is still based on a small number of individual images, datadriven pansharpening approaches are attracting increasing attention. However, few publicly available benchmark data sets for pansharpening are available, especially large-scale ones. This has been a serious limitation for the future development of pansharpening methods.

引用

页码：18 / 52

页数：35

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