Quality Assessment by Region and Land Cover of Sharpening Approaches Applied to GF-2 Imagery

doi:10.3390/app10113673

	Quality Assessment by Region and Land Cover of Sharpening Approaches Applied to GF-2 Imagery
	Liu, Qingsheng 1,2; Huang, Chong 1; Li, He 1
刊名	APPLIED SCIENCES-BASEL
	2020-06-01
卷号	10 期号:11 页码:27
关键词	GF-2 image modified intensity-hue-saturation Gram-Schmidt spectral sharpening color spectral sharpening principal component analysis quality assessment land cover
DOI	10.3390/app10113673
通讯作者	Liu, Qingsheng(liuqs@lreis.ac.cn)
英文摘要	The existing pansharpening methods applied to recently obtained satellite data can produce spectral distortion. Therefore, quality assessments should be performed to address this. However, quality assessment of the whole image may not be sufficient, because major differences in a given region or land cover can be minimized by small differences in another region or land cover in the image. Thus, it is necessary to evaluate the performance of the pansharpening process for different regions and land covers. In this study, the widely used modified intensity-hue-saturation (mIHS), Gram-Schmidt spectral sharpening (GS), color spectral sharpening (CN), and principal component analysis (PCA) pansharpening methods were applied to Gaofen 2 (GF-2) imagery and evaluated according to region and land-cover type, which was determined via an object-oriented image analysis technique with a support vector machine-supervised method based on several reliable quality indices at the native spatial scale without reference. Both visual and quantitative analyses based on region and land cover indicated that all four approaches satisfied the demands for improving the spatial resolution of the original GF-2 multispectral (MS) image, and mIHS produced results superior to those of the GS, CN, and PC methods by preserving image colors. The results indicated differences in the pansharpening quality among different land covers. Generally, for most land-cover types, the mIHS method better preserved the spectral information and spatial autocorrelation compared with the other methods.
资助项目	National Natural Science Foundation of China[4151144012] ; National Natural Science Foundation of China[41671422] ; National Natural Science Foundation of China[41661144030] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA20030302] ; National Key Research and Development Program of China[2016YFC1402701] ; Innovation Project of LREIS[088RA20CYA] ; Innovation Project of LREIS[08R8A010YA] ; National Mountain Flood Disaster Investigation Project[SHZH-IWHR-57]
WOS关键词	PANCHROMATIC IMAGES ; FUSION TECHNIQUES ; ALGORITHMS
WOS研究方向	Chemistry ; Engineering ; Materials Science ; Physics
语种	英语
出版者	MDPI
WOS记录号	WOS:000543385900010
资助机构	National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; National Key Research and Development Program of China ; Innovation Project of LREIS ; National Mountain Flood Disaster Investigation Project
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/162374]
专题	中国科学院地理科学与资源研究所
通讯作者	Liu, Qingsheng
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China
推荐引用方式 GB/T 7714	Liu, Qingsheng,Huang, Chong,Li, He. Quality Assessment by Region and Land Cover of Sharpening Approaches Applied to GF-2 Imagery[J]. APPLIED SCIENCES-BASEL,2020,10(11):27.
APA	Liu, Qingsheng,Huang, Chong,&Li, He.(2020).Quality Assessment by Region and Land Cover of Sharpening Approaches Applied to GF-2 Imagery.APPLIED SCIENCES-BASEL,10(11),27.
MLA	Liu, Qingsheng,et al."Quality Assessment by Region and Land Cover of Sharpening Approaches Applied to GF-2 Imagery".APPLIED SCIENCES-BASEL 10.11(2020):27.