{"id":"https://openalex.org/W3174902880","doi":"https://doi.org/10.3390/rs13122333","title":"A Spatio-Temporal Local Association Query Algorithm for Multi-Source Remote Sensing Big Data","display_name":"A Spatio-Temporal Local Association Query Algorithm for Multi-Source Remote Sensing Big Data","publication_year":2021,"publication_date":"2021-06-14","ids":{"openalex":"https://openalex.org/W3174902880","doi":"https://doi.org/10.3390/rs13122333","mag":"3174902880"},"language":"en","primary_location":{"id":"doi:10.3390/rs13122333","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13122333","pdf_url":"https://www.mdpi.com/2072-4292/13/12/2333/pdf?version=1624425549","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/13/12/2333/pdf?version=1624425549","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000076680","display_name":"Lilu Zhu","orcid":"https://orcid.org/0000-0002-2681-9116"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lilu Zhu","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103059130","display_name":"Xiaolu Su","orcid":"https://orcid.org/0000-0002-3534-6891"},"institutions":[{"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"]},{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolu Su","raw_affiliation_strings":["Institute of Electronics, Chinese Academy of Sciences, Suzhou 215123, China"],"affiliations":[{"raw_affiliation_string":"Institute of Electronics, Chinese Academy of Sciences, Suzhou 215123, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104097662","display_name":"Yanfeng Hu","orcid":null},"institutions":[{"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"]},{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfeng Hu","raw_affiliation_strings":["Institute of Electronics, Chinese Academy of Sciences, Suzhou 215123, China","Key Laboratory of Intelligent Aerospace Big Data Application Technology, Suzhou 215123, China"],"affiliations":[{"raw_affiliation_string":"Institute of Electronics, Chinese Academy of Sciences, Suzhou 215123, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Aerospace Big Data Application Technology, Suzhou 215123, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002791140","display_name":"Xianqing Tai","orcid":null},"institutions":[{"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"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianqing Tai","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112365916","display_name":"Kun Fu","orcid":"https://orcid.org/0000-0002-0450-6469"},"institutions":[{"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"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Fu","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5000076680"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.6156,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.66391517,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"13","issue":"12","first_page":"2333","last_page":"2333"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9531000256538391,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8229093551635742},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6690901517868042},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6132408380508423},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5057783126831055},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.43122535943984985},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4217008948326111},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10164409875869751}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8229093551635742},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6690901517868042},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6132408380508423},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5057783126831055},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.43122535943984985},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4217008948326111},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10164409875869751},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13122333","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13122333","pdf_url":"https://www.mdpi.com/2072-4292/13/12/2333/pdf?version=1624425549","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bca588beb14c4f86b5808db9fc0cff0b","is_oa":true,"landing_page_url":"https://doaj.org/article/bca588beb14c4f86b5808db9fc0cff0b","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 13, Iss 12, p 2333 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/12/2333/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13122333","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13122333","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13122333","pdf_url":"https://www.mdpi.com/2072-4292/13/12/2333/pdf?version=1624425549","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3174902880.pdf","grobid_xml":"https://content.openalex.org/works/W3174902880.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W51784276","https://openalex.org/W220519675","https://openalex.org/W2008196645","https://openalex.org/W2043405711","https://openalex.org/W2183084160","https://openalex.org/W2268839464","https://openalex.org/W2358136524","https://openalex.org/W2548753368","https://openalex.org/W2900292137","https://openalex.org/W2917305280","https://openalex.org/W3006266966","https://openalex.org/W4239132423","https://openalex.org/W4243869499","https://openalex.org/W6636710603","https://openalex.org/W6793378251","https://openalex.org/W7000946309","https://openalex.org/W7047453430"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W2127970246","https://openalex.org/W2885125400","https://openalex.org/W1001352512","https://openalex.org/W1989889224","https://openalex.org/W4382618745","https://openalex.org/W1973775000","https://openalex.org/W2748922771","https://openalex.org/W1987128138"],"abstract_inverted_index":{"It":[0],"is":[1,91],"extremely":[2],"important":[3],"to":[4,26,94,146,160,173],"extract":[5],"valuable":[6],"information":[7],"and":[8,18,33,65,86,126,140,195],"achieve":[9],"efficient":[10],"integration":[11],"of":[12,21,30,55,73,82,99,137,143,177],"remote":[13,22,56,115,192],"sensing":[14,23,57,116,193],"data.":[15],"The":[16,182],"multi-source":[17],"heterogeneous":[19],"nature":[20],"data":[24,41,58,63,76,83,101,117,124],"leads":[25],"the":[27,36,49,52,80,96,135,141,148,175,186,189],"increasing":[28],"complexity":[29],"these":[31],"relationships,":[32],"means":[34],"that":[35,185],"processing":[37],"mode":[38],"based":[39],"on":[40,179],"ontology":[42],"cannot":[43],"meet":[44],"requirements":[45],"any":[46],"more.":[47],"On":[48],"other":[50],"hand,":[51],"multi-dimensional":[53],"features":[54],"bring":[59],"more":[60],"difficulties":[61],"in":[62],"query":[64,90,112,163,170],"analysis,":[66],"especially":[67],"for":[68,114],"datasets":[69],"with":[70],"a":[71,87,108,122,127,157],"lot":[72],"noise.":[74],"Therefore,":[75],"quality":[77],"has":[78],"become":[79],"bottleneck":[81],"value":[84,199],"discovery,":[85],"single":[88],"batch":[89],"not":[92],"enough":[93],"support":[95],"optimal":[97],"combination":[98],"global":[100],"resources.":[102],"In":[103],"this":[104],"paper,":[105],"we":[106,120,133,155],"propose":[107],"spatio-temporal":[109,123,129,151,158],"local":[110,168],"association":[111,169],"algorithm":[113],"(STLAQ).":[118],"Firstly,":[119],"design":[121],"model":[125],"bottom-up":[128],"correlation":[130,149,152],"network.":[131],"Then,":[132],"use":[134],"method":[136,142],"partition-based":[138],"clustering":[139,145],"spectral":[144],"measure":[147],"between":[150,191],"networks.":[153],"Finally,":[154],"construct":[156],"index":[159],"provide":[161],"joint":[162],"capabilities.":[164],"We":[165],"carry":[166],"out":[167],"efficiency":[171],"experiments":[172],"verify":[174],"feasibility":[176],"STLAQ":[178,187],"multi-scale":[180],"datasets.":[181],"results":[183],"show":[184],"weakens":[188],"barriers":[190],"data,":[194],"improves":[196],"their":[197],"application":[198],"effectively.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}