Quantifying the Effect of Registration Error on Spatio-Temporal Fusion
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 r...
Saved in:
Published in | IEEE journal of selected topics in applied earth observations and remote sensing Vol. 13; pp. 487 - 503 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Piscataway
IEEE
2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | 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. |
---|---|
AbstractList | 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. |
Author | Tang, Yijie Wang, Qunming Zhang, Ka Atkinson, Peter M. |
Author_xml | – sequence: 1 givenname: Yijie orcidid: 0000-0003-0017-4476 surname: Tang fullname: Tang, Yijie email: tangyijie@sina.com organization: College of Surveying and Geo-Informatics, Tongji University, Shanghai, China – sequence: 2 givenname: Qunming orcidid: 0000-0002-5188-0939 surname: Wang fullname: Wang, Qunming email: wqm11111@126.com organization: College of Surveying and Geo-Informatics, Tongji University, Shanghai, China – sequence: 3 givenname: Ka orcidid: 0000-0002-3277-580X surname: Zhang fullname: Zhang, Ka email: zhangka81@126.com organization: School of Geography, Nanjing Normal University, Nanjing, China – sequence: 4 givenname: Peter M. orcidid: 0000-0002-5489-6880 surname: Atkinson fullname: Atkinson, Peter M. email: pma@lancaster.ac.uk organization: Faculty of Science and Technology, Lancaster University, Lancaster, U.K |
BookMark | eNo9kEFvwjAMhaOJSWNsv4BLpZ3L4qRJkyNCsDEhTQN2jkLqsCJoWFoO_PuVFXGyZb_32XqPpFeFCgkZAh0BUP36sVqPl6sRo4yOmJYCNL0jfQYCUhBc9EgfNNcpZDR7II91vaNUslzzPpl9nWzVlP5cVtuk-cFk6j26Jgk-WeK2rJtomzJUyTTGEJO2WR0vg3SNh2OIdp_MTnW7fyL33u5rfL7WAfmeTdeT93Tx-TafjBepy6hqUq5pUWyk8NQDYqacyNxGSu9pAag5aGlzrS0Kr7hnalNolAVnKtM-lyzzfEDmHbcIdmeOsTzYeDbBluZ_EOLW2NiUbo_GOeuogBZhi0wIpqBAJpXVijmw1Lasl451jOH3hHVjduEUq_Z9w7jIGeOU81bFO5WLoa4j-ttVoOYSvunCN5fwzTX81jXsXCUi3hxKSykk8D8Ft4Ie |
CODEN | IJSTHZ |
CitedBy_id | crossref_primary_10_3390_rs14236003 crossref_primary_10_1016_j_rse_2021_112325 crossref_primary_10_1109_TGRS_2021_3115136 crossref_primary_10_1016_j_rse_2020_112009 crossref_primary_10_1016_j_rse_2021_112407 crossref_primary_10_1109_JSTARS_2020_3028116 crossref_primary_10_3390_rs12244029 crossref_primary_10_1016_j_rse_2023_113709 crossref_primary_10_1109_TGRS_2022_3212474 crossref_primary_10_1109_JSTARS_2023_3310195 crossref_primary_10_1109_TGRS_2021_3138078 crossref_primary_10_3390_land12010033 crossref_primary_10_1016_j_isprsjprs_2021_08_012 crossref_primary_10_1016_j_jag_2022_102839 crossref_primary_10_1109_JSTARS_2021_3079357 crossref_primary_10_1016_j_jag_2022_102868 crossref_primary_10_1016_j_srs_2021_100033 crossref_primary_10_1080_22797254_2021_1879683 crossref_primary_10_1109_JSTARS_2020_3030122 crossref_primary_10_1016_j_rse_2022_113012 crossref_primary_10_1109_TGRS_2021_3108540 crossref_primary_10_1016_j_rse_2020_112130 crossref_primary_10_1109_JSTARS_2023_3296468 crossref_primary_10_1016_j_rse_2021_112770 |
Cites_doi | 10.1109/TGRS.2012.2186638 10.1080/01431160110104755 10.1080/01431160310001654932 10.1109/JSTARS.2018.2797894 10.1016/j.rse.2009.03.007 10.1109/36.718860 10.1016/j.rse.2015.11.016 10.1016/j.scitotenv.2017.09.103 10.1109/97.995823 10.1007/978-94-017-1675-8_25 10.1016/j.rse.2014.09.033 10.1016/S0022-1694(01)00613-8 10.1109/TGRS.2012.2213095 10.1117/1.JRS.9.096095 10.1029/1998JD200104 10.1016/j.agrformet.2011.07.003 10.1016/j.rse.2019.03.012 10.3390/rs9010021 10.1080/01431161.2015.1083633 10.1016/j.rse.2013.03.021 10.3390/rs11070818 10.1109/TIP.2009.2025006 10.3390/s150924002 10.1111/gcb.13311 10.1109/TGRS.2006.872081 10.1109/36.763276 10.2307/3545921 10.1109/MGRS.2018.2890023 10.1016/j.rse.2014.09.012 10.3390/rs10040527 10.1109/5.775414 10.1111/j.1538-4632.2002.tb01088.x 10.1016/j.rse.2014.02.003 10.1016/j.rse.2017.10.046 10.1016/j.compenvurbsys.2006.07.005 10.1016/j.rse.2007.04.004 10.1016/j.rse.2015.06.003 10.1016/j.rse.2010.05.032 |
ContentType | Journal Article |
Copyright | Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 |
Copyright_xml | – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 |
DBID | 97E ESBDL RIA RIE AAYXX CITATION 7UA 8FD C1K F1W FR3 H8D H96 KR7 L.G L7M DOA |
DOI | 10.1109/JSTARS.2020.2965190 |
DatabaseName | IEEE All-Society Periodicals Package (ASPP) 2005-present IEEE Xplore Open Access Journals IEEE All-Society Periodicals Package (ASPP) 1998–Present IEEE/IET Electronic Library (IEL) CrossRef Water Resources Abstracts Technology Research Database Environmental Sciences and Pollution Management ASFA: Aquatic Sciences and Fisheries Abstracts Engineering Research Database Aerospace Database Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources Civil Engineering Abstracts Aquatic Science & Fisheries Abstracts (ASFA) Professional Advanced Technologies Database with Aerospace DOAJ Directory of Open Access Journals |
DatabaseTitle | CrossRef Aerospace Database Civil Engineering Abstracts Aquatic Science & Fisheries Abstracts (ASFA) Professional Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources Technology Research Database ASFA: Aquatic Sciences and Fisheries Abstracts Engineering Research Database Advanced Technologies Database with Aerospace Water Resources Abstracts Environmental Sciences and Pollution Management |
DatabaseTitleList | Aerospace Database |
Database_xml | – sequence: 1 dbid: DOA name: Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: RIE name: IEEE url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/ sourceTypes: Publisher |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Geology |
EISSN | 2151-1535 |
EndPage | 503 |
ExternalDocumentID | oai_doaj_org_article_ccac051d9ead455281de268a982c1a0a 10_1109_JSTARS_2020_2965190 8966561 |
Genre | orig-research |
GrantInformation_xml | – fundername: National Natural Science Foundation of China grantid: 41971297 funderid: 10.13039/501100001809 – fundername: Tongji University grantid: 0250141304; 02502350047 funderid: 10.13039/501100004204 – fundername: Ministry of Natural Resources grantid: KF-2019-04-003 funderid: 10.13039/100008137 |
GroupedDBID | 0R~ 29I 4.4 5GY 5VS 6IK 97E AAFWJ AAJGR ABVLG ACIWK AENEX AETIX AFPKN AFRAH ALMA_UNASSIGNED_HOLDINGS BEFXN BFFAM BGNUA BKEBE BPEOZ DU5 EBS EJD ESBDL GROUPED_DOAJ HZ~ IFIPE IPLJI JAVBF M43 O9- OCL OK1 RIA RIE RIG RNS AAYXX CITATION 7UA 8FD C1K F1W FR3 H8D H96 KR7 L.G L7M |
ID | FETCH-LOGICAL-c408t-390ddb65f0f1ee48c54cb66ff0d1e93196a799ae5f83f28bd9e6d32849f7624f3 |
IEDL.DBID | RIE |
ISSN | 1939-1404 |
IngestDate | Thu Sep 05 15:39:48 EDT 2024 Fri Sep 13 00:14:59 EDT 2024 Fri Aug 23 00:39:53 EDT 2024 Wed Jun 26 19:26:07 EDT 2024 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c408t-390ddb65f0f1ee48c54cb66ff0d1e93196a799ae5f83f28bd9e6d32849f7624f3 |
ORCID | 0000-0003-0017-4476 0000-0002-5188-0939 0000-0002-5489-6880 0000-0002-3277-580X |
OpenAccessLink | https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/document/8966561 |
PQID | 2357223033 |
PQPubID | 75722 |
PageCount | 17 |
ParticipantIDs | crossref_primary_10_1109_JSTARS_2020_2965190 ieee_primary_8966561 doaj_primary_oai_doaj_org_article_ccac051d9ead455281de268a982c1a0a proquest_journals_2357223033 |
PublicationCentury | 2000 |
PublicationDate | 20200000 2020-00-00 20200101 2020-01-01 |
PublicationDateYYYYMMDD | 2020-01-01 |
PublicationDate_xml | – year: 2020 text: 20200000 |
PublicationDecade | 2020 |
PublicationPlace | Piscataway |
PublicationPlace_xml | – name: Piscataway |
PublicationTitle | IEEE journal of selected topics in applied earth observations and remote sensing |
PublicationTitleAbbrev | JSTARS |
PublicationYear | 2020 |
Publisher | IEEE The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher_xml | – name: IEEE – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
References | ref35 ref13 ref34 ref12 ref15 ref36 ref14 ref31 ref11 ref32 ref10 kolanuvada (ref6) 2016 ref2 ref39 ref16 ref19 ref18 ref24 ref45 ref23 ref26 ref20 ref42 ref41 ref22 ref44 pomalazaraez (ref28) 1987; 6 dyer (ref1) 2012; 345 ref21 ref43 zhu (ref37) 2018; 10 pang (ref33) 2014; 132 ref27 wu (ref17) 2012; 6 ref29 rao (ref30) 2005; 16 ref7 reynolds (ref38) 1995; 73 ref9 ref4 ref3 gao (ref8) 2006; 44 ref5 ref40 jie (ref25) 2017; 9 |
References_xml | – ident: ref21 doi: 10.1109/TGRS.2012.2186638 – ident: ref15 doi: 10.1080/01431160110104755 – ident: ref29 doi: 10.1080/01431160310001654932 – ident: ref24 doi: 10.1109/JSTARS.2018.2797894 – ident: ref9 doi: 10.1016/j.rse.2009.03.007 – ident: ref31 doi: 10.1109/36.718860 – ident: ref19 doi: 10.1016/j.rse.2015.11.016 – ident: ref3 doi: 10.1016/j.scitotenv.2017.09.103 – ident: ref42 doi: 10.1109/97.995823 – ident: ref43 doi: 10.1007/978-94-017-1675-8_25 – ident: ref5 doi: 10.1016/j.rse.2014.09.033 – volume: 132 start-page: 133 year: 2014 ident: ref33 article-title: Influence of registration error on land cover classification and change detection in high-resolution remote sensing image publication-title: Remote Sens Technol Appl contributor: fullname: pang – ident: ref41 doi: 10.1016/S0022-1694(01)00613-8 – ident: ref22 doi: 10.1109/TGRS.2012.2213095 – ident: ref34 doi: 10.1117/1.JRS.9.096095 – ident: ref27 doi: 10.1029/1998JD200104 – ident: ref2 doi: 10.1016/j.agrformet.2011.07.003 – ident: ref20 doi: 10.1016/j.rse.2019.03.012 – ident: ref23 doi: 10.3390/rs9010021 – ident: ref35 doi: 10.1080/01431161.2015.1083633 – ident: ref26 doi: 10.1016/j.rse.2013.03.021 – volume: 6 start-page: 267 year: 1987 ident: ref28 article-title: Misregistration effects on classification performance publication-title: J Inf Sci Eng contributor: fullname: pomalazaraez – ident: ref36 doi: 10.3390/rs11070818 – ident: ref40 doi: 10.1109/TIP.2009.2025006 – volume: 6 year: 2012 ident: ref17 article-title: Use of MODIS and Landsat time series data to generate high-resolution temporal synthetic Landsat data using a spatial and temporal reflectance fusion model publication-title: J Appl Remote Sens contributor: fullname: wu – ident: ref18 doi: 10.3390/s150924002 – ident: ref4 doi: 10.1111/gcb.13311 – volume: 44 start-page: 2207 year: 2006 ident: ref8 article-title: On the blending of the Landsat and MODIS surface reflectance: Predicting daily Landsat surface reflectance publication-title: IEEE Trans Geosci Remote Sens doi: 10.1109/TGRS.2006.872081 contributor: fullname: gao – ident: ref14 doi: 10.1109/36.763276 – volume: 73 start-page: 280 year: 1995 ident: ref38 article-title: On definition and quantification of heterogeneity publication-title: Oikos doi: 10.2307/3545921 contributor: fullname: reynolds – ident: ref7 doi: 10.1109/MGRS.2018.2890023 – ident: ref13 doi: 10.1016/j.rse.2014.09.012 – volume: 10 year: 2018 ident: ref37 article-title: Spatiotemporal fusion of multisource remote sensing data literature survey, taxonomy, principles, applications, and future directions publication-title: Remote Sens doi: 10.3390/rs10040527 contributor: fullname: zhu – volume: 16 start-page: 263 year: 2005 ident: ref30 article-title: Impact of intraband misregistration on image classification publication-title: J Amer Soc Mass Spectrometry contributor: fullname: rao – ident: ref39 doi: 10.1109/5.775414 – ident: ref44 doi: 10.1111/j.1538-4632.2002.tb01088.x – ident: ref12 doi: 10.1016/j.rse.2014.02.003 – ident: ref11 doi: 10.1016/j.rse.2017.10.046 – ident: ref32 doi: 10.1016/j.compenvurbsys.2006.07.005 – year: 2016 ident: ref6 article-title: Demand-based urban forest planning using high-resolution remote sensing and AHP publication-title: Proc Lidar Remote Sens Environ Monit 15th Int Soc Opt Photon contributor: fullname: kolanuvada – ident: ref16 doi: 10.1016/j.rse.2007.04.004 – volume: 345 year: 2012 ident: ref1 article-title: Adaptability research of spatial and temporal remote sensing data fusion technology in crop monitoring publication-title: Remote Sens Technol Appl contributor: fullname: dyer – ident: ref45 doi: 10.1016/j.rse.2015.06.003 – volume: 9 year: 2017 ident: ref25 article-title: A Bayesian data fusion approach to spatio-temporal fusion of remotely sensed images publication-title: Remote Sens contributor: fullname: jie – ident: ref10 doi: 10.1016/j.rse.2010.05.032 |
SSID | ssj0062793 |
Score | 2.385558 |
Snippet | It is challenging to acquire satellite sensor data with both fine spatial and fine temporal resolution, especially for monitoring at global scales. Among the... |
SourceID | doaj proquest crossref ieee |
SourceType | Open Website Aggregation Database Publisher |
StartPage | 487 |
SubjectTerms | Accuracy Artificial satellites Data Earth Image acquisition Imaging techniques Landsat Landsat satellites Methods MODIS Monitoring Reflectance Registration registration error Remote sensing remote sensing data Resolution Satellites Sensors Spatial data Spatial discrimination Spatial resolution spatio-temporal fusion Spectroradiometers Statistical correlation Temporal resolution Uncertainty analysis |
SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3PS8MwFA4iCF5EneJ0Sg4erUvaJs07TlkdgoL7AbuFtkm8yCZ1O_jf-9J0Q_HgxVsppUm-95J8L7x8j5BrSBgYyyHiJhFRasFESpkqUo6zQjqR2eYuzNOzHM3Sx7mYfyv15XPCgjxwAK6PLVToOAZwyKkQMfIrG0tVgIorXrBAjbjYBFNhDZYxul2rMcQZ9NHJB-MJRoMxu41BImthP_ahRq6_ra_ya1Fudpr8kBy0FJEOQteOyI5dHJO9h6YE72eH5C_rwmf4-PtJFOkbDQLEdOno2L5udXDpsK6XNcWHSZM0HU2DCNUbzdf-hOyEzPLh9H4UtdUQoiplahUlwIwppXDMcWtTVYm0KqV0jhluwc-kIgMorHAqcbEqETFpEtx9wOGCl7rklOwulgt7RqjLMCgDYRRIlbqyLJCGFQoyFhsHRrAuudlgo9-D6IVuggUGOkCpPZS6hbJL7jx-20-9YnXzAu2oWzvqv-zYJR2P_vYn2DekmrxLehtr6HZ2fWgv0YO0hiXJ-X80fUH2_XDCwUqP7K7qtb1EqrEqrxqv-gLNfM8K priority: 102 providerName: Directory of Open Access Journals |
Title | Quantifying the Effect of Registration Error on Spatio-Temporal Fusion |
URI | https://ieeexplore.ieee.org/document/8966561 https://www.proquest.com/docview/2357223033/abstract/ https://doaj.org/article/ccac051d9ead455281de268a982c1a0a |
Volume | 13 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Lb9QwEB6VSkhcKFAQC6XygWOzdRzb8RwL6lIhFYk-pN4sJx5zAO2iZXOgv56xk12Jx4GbFeVhz4zH3zgznwHeYiMxUo1VHRtTacJYORf7yqVaBptMS6UW5vKTvbjVH-_M3R6c7GphiKgkn9E8N8u__Ljqh7xVduoYm5sc6zxwUo21Wluva1VbCHYZj_B3tdQTw1At8ZRN_OzqmmNBJecKLWMW-dsqVMj6p9NV_nLJZZ1ZHMDltodjesnX-bDp5v39H-SN_zuEJ_B4ApzibLSQp7BHy2fw8EM50PfnISw-DyHnC-VqJ8FgUIx0xmKVxBV92bHqivP1erUW3LguKdjVzUhp9U0shrzf9hxuF-c37y-q6WyFqtfSbaoGZYydNUmmmki73ui-szYlGWvCPC9DixjIJNck5bqIZGPDaxkmdp86NS9gf7la0ksQqeUQD03koTmdui4wqAsOW6liwmjkDE62svbfRwoNX0IPiX5Ujc-q8ZNqZvAu62N3a-a_LhdYjn6aTp7trmd3wr0KURujGHWTsi6gU30dZJjBYZb97iWT2GdwtNWun-bqD58JfxgkyaZ59e-nXsOj3MFx4-UI9jfrgd4wFNl0xyWEPy6W-Atnx9qw |
link.rule.ids | 315,786,790,802,870,2115,4043,27956,27957,27958,55109 |
linkProvider | IEEE |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3BTtwwEB0hUEUvpS0glkLxoUeyOInt2EdasV1aFqmwSNwsJx73ULRbLZtD-_UdO9mVCj30FkVOYs-Mx2-cmWeAD6bkxmNustyXMhNofKa1bzIdcu5UkBWmWpjJtRrfiS_38n4DTte1MIiYks9wGC_Tv3w_b9q4VXamCZvLGOts0TrPTVettfK7qqgSxS4hEvqy4KLnGKKGZ2Tk5ze3FA0WfFgYRaiF_7UOJbr-_nyVZ045rTSjHZis-tglmPwYtst62Px-Qt_4v4N4Da96yMnOOxt5Axs4ewsvPqcjfX_twuhb62LGUKx3YgQHWUdozOaB3eD3Na8uu1gs5gtGF7cpCTubdqRWD2zUxh23PbgbXUw_jbP-dIWsEVwvs9Jw72slAw85otCNFE2tVAjc52jizHSVMQ5l0GUodO0NKl_SamYCOVARyn3YnM1neAAsVBTkGelpaFqEunYE65w2FS98MF7yAZyuZG1_diQaNgUf3NhONTaqxvaqGcDHqI9108iAnW6QHG0_oSxZXkMOhXrlvJCyINyNhdLO6KLJHXcD2I2yX7-kF_sAjlbatf1sfbSR8odgEi_Lw38_dQLb4-nkyl5dXn99By9jZ7ttmCPYXC5aPCZgsqzfJ3v8A_Kf3RE |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Quantifying+the+Effect+of+Registration+Error+on+Spatio-Temporal+Fusion&rft.jtitle=IEEE+journal+of+selected+topics+in+applied+earth+observations+and+remote+sensing&rft.au=Tang%2C+Yijie&rft.au=Wang%2C+Qunming&rft.au=Zhang%2C+Ka&rft.au=Atkinson%2C+Peter+M.&rft.date=2020&rft.pub=IEEE&rft.issn=1939-1404&rft.eissn=2151-1535&rft.volume=13&rft.spage=487&rft.epage=503&rft_id=info:doi/10.1109%2FJSTARS.2020.2965190&rft.externalDocID=8966561 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1939-1404&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1939-1404&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1939-1404&client=summon |