气候变化领域集成服务门户(CCPortal): General solution to reduce the point spread function effect in subpixel mapping

CCPortal

DOI	10.1016/j.rse.2020.112054
	General solution to reduce the point spread function effect in subpixel mapping
	Wang Q.; Zhang C.; Tong X.; Atkinson P.M.
发表日期	2020
ISSN	00344257
卷号	251
英文摘要	The point spread function (PSF) effect is ubiquitous in remote sensing images and imposes a fundamental uncertainty on subpixel mapping (SPM). The crucial PSF effect has been neglected in existing SPM methods. This paper proposes a general model to reduce the PSF effect in SPM. The model is applicable to any SPM methods treating spectral unmixing as pre-processing. To demonstrate the advantages of the new technique it was necessary to develop a new approach for accuracy assessment of SPM. To-date, accuracy assessment for SPM has been limited to subpixel classification accuracy, ignoring the performance of reproducing spatial structure in downscaling. In this paper, a new accuracy index is proposed which considers SPM performances in classification and restoration of spatial structure simultaneously. Experimental results show that by considering the PSF effect, more accurate SPM results were produced and small-sized patches and elongated features were restored more satisfactorily. Moreover, using the novel accuracy index, the quantitative evaluation was found to be more consistent with visual evaluation. This paper, thus, addresses directly two of the longest standing challenges in SPM (i.e., the limitations of the PSF effect and accuracy assessment undertaken only on a subpixel-by-subpixel basis). © 2020 Elsevier Inc.
英文关键词	Accuracy assessment; Downscaling; Point spread function (PSF); Remote sensing images; Spectral unmixing; Subpixel mapping (SPM); Supper-resolution mapping
语种	英语
scopus关键词	Function evaluation; Mapping; Pixels; Remote sensing; Restoration; Accuracy assessment; Quantitative evaluation; Remote sensing images; Spatial structure; Spectral unmixing; Sub-pixel classification; Sub-pixel mapping; Visual evaluation; Optical transfer function; accuracy assessment; digital mapping; downscaling; experimental study; image analysis; pixel; remote sensing
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179133
作者单位	College of Surveying and Geo-Informatics, Tongji University, 1239 Siping Road, Shanghai, 200092, China; Faculty of Science and Technology, Lancaster University, Lancaster, LA1 4YR, United Kingdom; Geography and Environment, University of Southampton, Highfield, Southampton, SO17 1BJ, United Kingdom; Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Datun Road, Beijing, 100101, China
推荐引用方式 GB/T 7714	Wang Q.,Zhang C.,Tong X.,et al. General solution to reduce the point spread function effect in subpixel mapping[J],2020,251.
APA	Wang Q.,Zhang C.,Tong X.,&Atkinson P.M..(2020).General solution to reduce the point spread function effect in subpixel mapping.Remote Sensing of Environment,251.
MLA	Wang Q.,et al."General solution to reduce the point spread function effect in subpixel mapping".Remote Sensing of Environment 251(2020).