{"id":"https://openalex.org/W3097561306","doi":"https://doi.org/10.1109/tgrs.2020.3031337","title":"Geographic Optimal Transport for Heterogeneous Data: Fusing Remote Sensing and Social Media","display_name":"Geographic Optimal Transport for Heterogeneous Data: Fusing Remote Sensing and Social Media","publication_year":2020,"publication_date":"2020-10-28","ids":{"openalex":"https://openalex.org/W3097561306","doi":"https://doi.org/10.1109/tgrs.2020.3031337","mag":"3097561306"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.3031337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3031337","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101604036","display_name":"Zhenjie Liu","orcid":"https://orcid.org/0000-0001-6513-1149"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenjie Liu","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Urbanization and Geo-Simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Urbanization and Geo-Simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101992408","display_name":"Qiang Qiu","orcid":"https://orcid.org/0000-0003-2610-3502"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Qiu","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362041","display_name":"Jun Li","orcid":"https://orcid.org/0000-0003-1613-9448"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Urbanization and Geo-Simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Urbanization and Geo-Simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009116003","display_name":"Lizhe Wang","orcid":"https://orcid.org/0000-0003-2766-0845"},"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":"Lizhe Wang","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054292278","display_name":"Antonio Plaza","orcid":"https://orcid.org/0000-0002-9613-1659"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio Plaza","raw_affiliation_strings":["Hyperspectral Computing Laboratory, University of Extremadura, C\u00e1ceres, Spain"],"affiliations":[{"raw_affiliation_string":"Hyperspectral Computing Laboratory, University of Extremadura, C\u00e1ceres, Spain","institution_ids":["https://openalex.org/I80606768"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101604036"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":1.0011,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.77435786,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"59","issue":"8","first_page":"6935","last_page":"6945"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9776999950408936,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9731000065803528,"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/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.7168187499046326},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6905796527862549},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6625123023986816},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6309109926223755},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6267359256744385},{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.5394227504730225},{"id":"https://openalex.org/keywords/geographic-information-system","display_name":"Geographic information system","score":0.5136560797691345},{"id":"https://openalex.org/keywords/georeference","display_name":"Georeference","score":0.4428054392337799},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.35006046295166016},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.346265971660614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.242739737033844},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.18152421712875366},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13902953267097473},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10475283861160278}],"concepts":[{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.7168187499046326},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6905796527862549},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6625123023986816},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6309109926223755},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6267359256744385},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.5394227504730225},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.5136560797691345},{"id":"https://openalex.org/C75145180","wikidata":"https://www.wikidata.org/wiki/Q772007","display_name":"Georeference","level":2,"score":0.4428054392337799},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.35006046295166016},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.346265971660614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.242739737033844},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.18152421712875366},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13902953267097473},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10475283861160278},{"id":"https://openalex.org/C100970517","wikidata":"https://www.wikidata.org/wiki/Q52107","display_name":"Physical geography","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2020.3031337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3031337","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6823350683","display_name":null,"funder_award_id":"XDA19090104","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W46086471","https://openalex.org/W64698994","https://openalex.org/W1002131439","https://openalex.org/W1484456269","https://openalex.org/W1500583457","https://openalex.org/W1522481850","https://openalex.org/W1565176903","https://openalex.org/W1594039573","https://openalex.org/W1722318740","https://openalex.org/W1778870018","https://openalex.org/W1981048805","https://openalex.org/W1999910162","https://openalex.org/W2005524263","https://openalex.org/W2064447488","https://openalex.org/W2081212507","https://openalex.org/W2089685866","https://openalex.org/W2090923791","https://openalex.org/W2111809230","https://openalex.org/W2115403315","https://openalex.org/W2128053425","https://openalex.org/W2141413155","https://openalex.org/W2149466042","https://openalex.org/W2162132284","https://openalex.org/W2165698076","https://openalex.org/W2169067611","https://openalex.org/W2215149882","https://openalex.org/W2279034837","https://openalex.org/W2331583310","https://openalex.org/W2343675796","https://openalex.org/W2381966470","https://openalex.org/W2412124568","https://openalex.org/W2415191695","https://openalex.org/W2531958295","https://openalex.org/W2549412929","https://openalex.org/W2579353374","https://openalex.org/W2580774552","https://openalex.org/W2594511897","https://openalex.org/W2605388673","https://openalex.org/W2745024523","https://openalex.org/W2770697187","https://openalex.org/W2786640607","https://openalex.org/W2793106788","https://openalex.org/W2806015799","https://openalex.org/W2808408933","https://openalex.org/W2883574923","https://openalex.org/W2897285410","https://openalex.org/W2962687275","https://openalex.org/W3009330671","https://openalex.org/W3011030181","https://openalex.org/W3011782621","https://openalex.org/W4234610729","https://openalex.org/W4285719527","https://openalex.org/W6601848957","https://openalex.org/W6602657573","https://openalex.org/W6628890452","https://openalex.org/W6633602821","https://openalex.org/W6672976891","https://openalex.org/W6681637710","https://openalex.org/W6683724074","https://openalex.org/W6695692224","https://openalex.org/W6732499259"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2347383573","https://openalex.org/W2058213690","https://openalex.org/W1673634010","https://openalex.org/W2034757434","https://openalex.org/W1965050180","https://openalex.org/W2786640607","https://openalex.org/W4384520426","https://openalex.org/W3097561306"],"abstract_inverted_index":{"The":[0,71,95],"fusion":[1,42,103,182],"of":[2,23,43,82,104,183],"heterogeneous":[3,44,105,232],"remote":[4,159,233],"sensing":[5,160,234],"and":[6,18,62,87,126,173,187,197,235],"social":[7,236],"media":[8,237],"data":[9,26,38,46,60],"can":[10,74,212,229],"fill":[11],"the":[12,20,24,41,48,52,64,85,102,167,174,181,198,209,220,225],"gaps":[13],"in":[14,36,84,101,128,138,140],"satellite":[15],"image":[16],"collections":[17],"improve":[19],"spatiotemporal":[21],"resolution":[22],"available":[25],"sets.":[27],"As":[28],"a":[29,113,129,147],"result,":[30],"it":[31],"is":[32,98,144,203],"being":[33],"gradually":[34],"adopted":[35],"multimodal":[37],"analytics.":[39],"Generally,":[40],"geographic":[45,106,117],"faces":[47],"following":[49],"issues:":[50],"1)":[51],"probability":[53],"density":[54],"functions":[55],"may":[56,66],"differ":[57],"from":[58,163],"different":[59],"sources":[61],"2)":[63],"geolocations":[65,127],"not":[67],"be":[68,75],"well":[69],"aligned.":[70],"former":[72],"one":[73],"generally":[76],"solved":[77],"by":[78],"performing":[79],"an":[80],"alignment":[81],"representations":[83,125],"source":[86],"target":[88],"domains":[89],"using,":[90],"for":[91,180],"instance,":[92],"domain":[93],"adaptation.":[94],"latter":[96],"issue":[97],"seldom":[99],"considered":[100],"data.":[107,189,238],"In":[108],"this":[109],"article,":[110],"we":[111,156],"present":[112],"new":[114],"method":[115],"called":[116],"optimal":[118,200],"transport":[119,201],"(GOT),":[120],"which":[121],"aims":[122],"at":[123],"aligning":[124],"simultaneous":[130],"fashion.":[131],"A":[132,190],"flood":[133,221],"event":[134],"that":[135,208,227],"took":[136],"place":[137],"2013":[139],"Boulder,":[141],"CO,":[142],"USA,":[143],"taken":[145],"as":[146],"case":[148],"study":[149],"to":[150,219,224],"evaluate":[151],"our":[152,193],"GOT":[153,196,211,228],"method.":[154],"Here,":[155],"consider":[157],"two":[158],"features":[161],"derived":[162],"water":[164,177],"indicators,":[165],"i.e.,":[166],"normalized":[168,175],"difference":[169,176],"vegetation":[170],"index":[171,178],"(NDVI)":[172],"(NDWI),":[179],"Landsat":[184],"8":[185],"imagery":[186],"Twitter":[188],"comparison":[191],"between":[192],"newly":[194],"developed":[195],"traditional":[199],"(OT)":[202],"performed.":[204],"Experimental":[205],"results":[206],"demonstrate":[207],"proposed":[210],"accurately":[213],"align":[214],"spatially":[215],"biased":[216],"georeferenced":[217],"tweets":[218],"phenomena,":[222],"leading":[223],"conclusion":[226],"effectively":[230],"fuse":[231]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
