Quantifying the Effect of Registration Error on Spatio-Temporal Fusion

doi:10.1109/JSTARS.2020.2965190

	Quantifying the Effect of Registration Error on Spatio-Temporal Fusion
	Tang, Yijie 2; Wang, Qunming 2; Zhang, Ka 1,3,4; Atkinson, Peter M.5,6,7,8
刊名	IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
	2020
卷号	13 页码:487-503
关键词	Landsat MODIS registration error remote sensing data spatio-temporal fusion
ISSN号	1939-1404
DOI	10.1109/JSTARS.2020.2965190
通讯作者	Wang, Qunming(wqm11111@126.com)
英文摘要	It is challenging to acquire satellite sensor data with both fine spatial and fine temporal resolution, especially for monitoring at global scales. Among the widely used global monitoring satellite sensors, Landsat data have a coarse temporal resolution, but fine spatial resolution, while moderate resolution imaging spectroradiometer (MODIS) data have fine temporal resolution, but coarse spatial resolution. One solution to this problem is to blend the two types of data using spatio-temporal fusion, creating images with both fine temporal and fine spatial resolution. However, reliable geometric registration of images acquired by different sensors is a prerequisite of spatio-temporal fusion. Due to the potentially large differences between the spatial resolutions of the images to be fused, the geometric registration process always contains some degree of uncertainty. This article analyzes quantitatively the influence of geometric registration error on spatio-temporal fusion. The relationship between registration error and the accuracy of fusion was investigated under the influence of different temporal distances between images, different spatial patterns within the images and using different methods (i.e., spatial and temporal adaptive reflectance fusion model (STARFM), and Fit-FC; two typical spatio-temporal fusion methods). The results show that registration error has a significant impact on the accuracy of spatio-temporal fusion; as the registration error increased, the accuracy decreased monotonically. The effect of registration error in a heterogeneous region was greater than that in a homogeneous region. Moreover, the accuracy of fusion was not dependent on the temporal distance between images to be fused, but rather on their statistical correlation. Finally, the Fit-FC method was found to be more accurate than the STARFM method, under all registration error scenarios.
资助项目	National Natural Science Foundation of China[41971297] ; Tongji University[0250141304] ; Tongji University[02502350047] ; Open Fund of Key Laboratory of Urban Natural Resources Monitoring and Simulation, Ministry of Natural Resources[KF-2019-04-003]
WOS关键词	IMAGE FUSION ; SURFACE TEMPERATURE ; REFLECTANCE FUSION ; RESOLUTION ; LANDSAT ; MULTISOURCE ; PERFORMANCE ; RETRIEVAL ; ALGORITHM ; IMPROVE
WOS研究方向	Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000526639900040
资助机构	National Natural Science Foundation of China ; Tongji University ; Open Fund of Key Laboratory of Urban Natural Resources Monitoring and Simulation, Ministry of Natural Resources
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/133968]
专题	中国科学院地理科学与资源研究所
通讯作者	Wang, Qunming
作者单位	1.Nanjing Normal Univ, Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China 2.Tongji Univ, Coll Surveying & Geoinformat, Shanghai 200092, Peoples R China 3.Nanjing Normal Univ, Sch Geog, Nanjing 210023, Peoples R China 4.Minist Nat Resources, Key Lab Urban Nat Resources Monitoring & Simulat, Shenzhen 518034, Peoples R China 5.Univ Lancaster, Fac Sci & Technol, Lancaster LA1 4YR, England 6.Queens Univ Belfast, Sch Geog Archaeol & Palaeoecol, Belfast BT7 1NN, Antrim, North Ireland 7.Univ Southampton, Geog & Environm, Southampton SO17 1BJ, Hants, England 8.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Tang, Yijie,Wang, Qunming,Zhang, Ka,et al. Quantifying the Effect of Registration Error on Spatio-Temporal Fusion[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2020,13:487-503.
APA	Tang, Yijie,Wang, Qunming,Zhang, Ka,&Atkinson, Peter M..(2020).Quantifying the Effect of Registration Error on Spatio-Temporal Fusion.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,13,487-503.
MLA	Tang, Yijie,et al."Quantifying the Effect of Registration Error on Spatio-Temporal Fusion".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 13(2020):487-503.