{"id":"https://openalex.org/W2915207631","doi":"https://doi.org/10.1109/lgrs.2019.2894805","title":"Optimal Endmember-Based Super-Resolution Land Cover Mapping","display_name":"Optimal Endmember-Based Super-Resolution Land Cover Mapping","publication_year":2019,"publication_date":"2019-02-25","ids":{"openalex":"https://openalex.org/W2915207631","doi":"https://doi.org/10.1109/lgrs.2019.2894805","mag":"2915207631"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2019.2894805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2894805","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://nottingham-repository.worktribe.com/output/1615691","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056579161","display_name":"Xinyan Li","orcid":"https://orcid.org/0000-0003-2489-4312"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210105990","display_name":"Institute of Geodesy and Geophysics","ror":"https://ror.org/01gkn6j11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210105990"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinyan Li","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Geodesy and Geophysics, Wuhan, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2489-4312","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Geodesy and Geophysics, Wuhan, China","institution_ids":["https://openalex.org/I4210105990","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100369688","display_name":"Xiaodong Li","orcid":"https://orcid.org/0000-0001-8285-8446"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210105990","display_name":"Institute of Geodesy and Geophysics","ror":"https://ror.org/01gkn6j11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210105990"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Li","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Geodesy and Geophysics, Wuhan, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8285-8446","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Geodesy and Geophysics, Wuhan, China","institution_ids":["https://openalex.org/I4210105990","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053923666","display_name":"Giles M. Foody","orcid":"https://orcid.org/0000-0001-6464-3054"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Giles Foody","raw_affiliation_strings":["School of Geography, The University of Nottingham, University Park, Nottingham, U.K"],"raw_orcid":"https://orcid.org/0000-0001-6464-3054","affiliations":[{"raw_affiliation_string":"School of Geography, The University of Nottingham, University Park, Nottingham, U.K","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000364632","display_name":"Xiaohong Yang","orcid":"https://orcid.org/0000-0001-9352-7853"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohong Yang","raw_affiliation_strings":["National Engineering Research Center of Geographic Information System, China University of Geo-Sciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Geographic Information System, China University of Geo-Sciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034678630","display_name":"Yihang Zhang","orcid":"https://orcid.org/0009-0008-9446-5111"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210105990","display_name":"Institute of Geodesy and Geophysics","ror":"https://ror.org/01gkn6j11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210105990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihang Zhang","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Geodesy and Geophysics, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Geodesy and Geophysics, Wuhan, China","institution_ids":["https://openalex.org/I4210105990","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112724341","display_name":"Yun Du","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210105990","display_name":"Institute of Geodesy and Geophysics","ror":"https://ror.org/01gkn6j11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210105990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Du","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Geodesy and Geophysics, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Geodesy and Geophysics, Wuhan, China","institution_ids":["https://openalex.org/I4210105990","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012444471","display_name":"Feng Ling","orcid":"https://orcid.org/0000-0002-0685-4897"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210105990","display_name":"Institute of Geodesy and Geophysics","ror":"https://ror.org/01gkn6j11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210105990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Ling","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Geodesy and Geophysics, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0685-4897","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Geodesy and Geophysics, Wuhan, China","institution_ids":["https://openalex.org/I4210105990","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5056579161"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210105990","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":1.0411,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77321844,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"16","issue":"8","first_page":"1279","last_page":"1283"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.9954602718353271},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.713451087474823},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6662557125091553},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6459072828292847},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5615783333778381},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5123060941696167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5010147094726562},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4773716628551483},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4671556353569031},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4652380049228668},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4345090985298157},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4256798326969147},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3976233899593353},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3446383476257324},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.22701650857925415},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.144771546125412}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.9954602718353271},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.713451087474823},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6662557125091553},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6459072828292847},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5615783333778381},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5123060941696167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5010147094726562},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4773716628551483},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4671556353569031},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4652380049228668},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4345090985298157},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4256798326969147},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3976233899593353},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3446383476257324},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.22701650857925415},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.144771546125412},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lgrs.2019.2894805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2894805","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"},{"id":"pmh:oai:nottingham-repository.worktribe.com:1615691","is_oa":true,"landing_page_url":"https://nottingham-repository.worktribe.com/output/1615691","pdf_url":null,"source":{"id":"https://openalex.org/S4306402483","display_name":"Repository@Nottingham (University of Nottingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142263535","host_organization_name":"University of Nottingham","host_organization_lineage":["https://openalex.org/I142263535"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:nottingham-repository.worktribe.com:1615691","is_oa":true,"landing_page_url":"https://nottingham-repository.worktribe.com/output/1615691","pdf_url":null,"source":{"id":"https://openalex.org/S4306402483","display_name":"Repository@Nottingham (University of Nottingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142263535","host_organization_name":"University of Nottingham","host_organization_lineage":["https://openalex.org/I142263535"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G2819405660","display_name":null,"funder_award_id":"2017384","funder_id":"https://openalex.org/F4320322847","funder_display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences"},{"id":"https://openalex.org/G4658386196","display_name":null,"funder_award_id":"2018CFA062","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G6193885272","display_name":null,"funder_award_id":"61671425","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8597807358","display_name":null,"funder_award_id":"XDA2003030201","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null},{"id":"https://openalex.org/F4320322847","display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","ror":"https://ror.org/031141b54"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W399653452","https://openalex.org/W1972293418","https://openalex.org/W1976843198","https://openalex.org/W1983720606","https://openalex.org/W1997259586","https://openalex.org/W2005443948","https://openalex.org/W2010319424","https://openalex.org/W2037133124","https://openalex.org/W2037328426","https://openalex.org/W2044558111","https://openalex.org/W2046723811","https://openalex.org/W2048147566","https://openalex.org/W2061980025","https://openalex.org/W2073626642","https://openalex.org/W2081155276","https://openalex.org/W2114486983","https://openalex.org/W2136635809","https://openalex.org/W2142380919","https://openalex.org/W2144881411","https://openalex.org/W2151747974","https://openalex.org/W2615806692","https://openalex.org/W6613861473"],"related_works":["https://openalex.org/W2136635809","https://openalex.org/W2018409903","https://openalex.org/W2011962637","https://openalex.org/W2540644541","https://openalex.org/W2163677711","https://openalex.org/W2036727360","https://openalex.org/W2615806692","https://openalex.org/W2080965330","https://openalex.org/W2547534968","https://openalex.org/W2125102615"],"abstract_inverted_index":{"Super-resolution":[0],"mapping":[1],"(SRM)":[2],"aims":[3],"to":[4,22,140],"determine":[5],"the":[6,10,16,36,47,55,76,80,103,110,119,123,127,142,179,194,197,209],"spatial":[7,33,81,104,175],"distribution":[8],"of":[9,72,86,144,211],"land":[11,170,182],"cover":[12,171,183],"classes":[13,184],"contained":[14],"in":[15,75,106,201,207],"area":[17],"represented":[18],"by":[19,58,146],"mixed":[20],"pixels":[21],"obtain":[23],"a":[24,31,69,134,155],"more":[25,174],"appropriate":[26],"and":[27,52,83,108,122,133,177],"accurate":[28],"map":[29],"at":[30],"finer":[32],"resolution":[34,116],"than":[35],"input":[37,51],"remotely":[38],"sensed":[39],"image.":[40],"The":[41,163,189],"image-based":[42,64],"SRM":[43,65,98,151],"models":[44,66],"directly":[45],"use":[46],"observed":[48],"images":[49,137],"as":[50,126],"can":[53],"mitigate":[54],"uncertainty":[56,85,213],"caused":[57],"class":[59],"fraction":[60],"errors.":[61],"However,":[62],"existing":[63],"always":[67],"adopt":[68,154],"fixed":[70,156],"set":[71,158],"endmembers":[73],"used":[74,139],"entire":[77],"image,":[78],"ignoring":[79],"variability":[82],"spectral":[84,120,124,128,187],"endmembers.":[87],"To":[88],"address":[89],"this":[90,92],"problem,":[91],"letter":[93],"proposed":[94,190],"an":[95],"optimal":[96],"endmember-based":[97],"(OESRM)":[99],"model,":[100],"which":[101,153],"considers":[102],"variations":[105],"endmembers,":[107],"determines":[109],"best-fit":[111],"one":[112],"for":[113],"each":[114],"coarse":[115],"pixel":[117],"using":[118],"angle":[121],"distance":[125],"similarity":[129],"indexes.":[130],"A":[131],"Sentinel-2A":[132],"Landsat-8":[135],"multispectral":[136],"were":[138],"analyze":[141],"performance":[143],"OESRM,":[145],"comparing":[147],"with":[148,173,185,196],"three":[149],"other":[150],"methods":[152],"endmember":[157,161,212],"or":[159],"multiple":[160],"sets.":[162],"results":[164,195],"showed":[165],"that":[166],"OESRM":[167,191],"generated":[168],"resultant":[169],"maps":[172],"detail,":[176],"reduced":[178],"confusion":[180],"between":[181],"similar":[186],"features.":[188],"model":[192],"produced":[193],"highest":[198],"overall":[199],"accuracy":[200],"both":[202],"experiments,":[203],"showing":[204],"its":[205],"effectiveness":[206],"reducing":[208],"effect":[210],"on":[214],"SRM.":[215]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
