{"id":"https://openalex.org/W2979899110","doi":"https://doi.org/10.1109/multi-temp.2019.8866982","title":"A Novel \u201cGhost City\u201d Phenomenon Identification Approach Based on Multi-source and Multitemporal Remote Sensing Data","display_name":"A Novel \u201cGhost City\u201d Phenomenon Identification Approach Based on Multi-source and Multitemporal Remote Sensing Data","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W2979899110","doi":"https://doi.org/10.1109/multi-temp.2019.8866982","mag":"2979899110"},"language":"en","primary_location":{"id":"doi:10.1109/multi-temp.2019.8866982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/multi-temp.2019.8866982","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp)","raw_type":"proceedings-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/A5100747585","display_name":"Xiaolong Ma","orcid":"https://orcid.org/0000-0003-3584-7378"},"institutions":[{"id":"https://openalex.org/I4210114963","display_name":"Chinese Academy of Surveying and Mapping","ror":"https://ror.org/02j693n47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114963"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Ma","raw_affiliation_strings":["Institute of Cartography and Geographic Information System, Chinese Academy of Surveying and Mapping, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Cartography and Geographic Information System, Chinese Academy of Surveying and Mapping, Beijing, China","institution_ids":["https://openalex.org/I4210114963"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101808664","display_name":"Chengming Li","orcid":"https://orcid.org/0000-0002-9438-4871"},"institutions":[{"id":"https://openalex.org/I4210114963","display_name":"Chinese Academy of Surveying and Mapping","ror":"https://ror.org/02j693n47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114963"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengming Li","raw_affiliation_strings":["Institute of Cartography and Geographic Information System, Chinese Academy of Surveying and Mapping, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Cartography and Geographic Information System, Chinese Academy of Surveying and Mapping, Beijing, China","institution_ids":["https://openalex.org/I4210114963"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039348214","display_name":"Xiaohua Tong","orcid":"https://orcid.org/0000-0002-1045-3797"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaohua Tong","raw_affiliation_strings":["College of Surveying and Geo-Informatics, Key Laboratory of Cities Mitigation and Adaptation to Climate Change in Shanghai, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Key Laboratory of Cities Mitigation and Adaptation to Climate Change in Shanghai, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100684827","display_name":"Sicong Liu","orcid":"https://orcid.org/0000-0003-1612-4844"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sicong Liu","raw_affiliation_strings":["College of Surveying and Geo-Informatics, Key Laboratory of Cities Mitigation and Adaptation to Climate Change in Shanghai, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Key Laboratory of Cities Mitigation and Adaptation to Climate Change in Shanghai, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109408720","display_name":"Shouzhu Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shouzhu Zheng","raw_affiliation_strings":["College of Surveying and Geo-Informatics, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08876507,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"29","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11963","display_name":"Impact of Light on Environment and Health","score":0.9980000257492065,"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/T11963","display_name":"Impact of Light on Environment and Health","score":0.9980000257492065,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9706000089645386,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9279999732971191,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/computer-science","display_name":"Computer science","score":0.668403148651123},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.66463702917099},{"id":"https://openalex.org/keywords/phenomenon","display_name":"Phenomenon","score":0.603126049041748},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4606284201145172},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18828359246253967},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09292644262313843}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.668403148651123},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.66463702917099},{"id":"https://openalex.org/C50335755","wikidata":"https://www.wikidata.org/wiki/Q483247","display_name":"Phenomenon","level":2,"score":0.603126049041748},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4606284201145172},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18828359246253967},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09292644262313843},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/multi-temp.2019.8866982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/multi-temp.2019.8866982","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1991871367","https://openalex.org/W2230486561","https://openalex.org/W2266690071","https://openalex.org/W2589797206","https://openalex.org/W2594796036"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4300450609","https://openalex.org/W4386931570","https://openalex.org/W2391010541","https://openalex.org/W2357367123","https://openalex.org/W4388930439","https://openalex.org/W2387276901","https://openalex.org/W2385953334","https://openalex.org/W2351303360"],"abstract_inverted_index":{"\u201cGhost":[0],"city\u201d":[1,122,218],"phenomenon":[2,6,29,123],"refers":[3],"to":[4,21,36,105,132,175,189],"a":[5,47],"of":[7,27,57,70,120,136,159,207,216],"serious":[8],"imbalance":[9],"between":[10],"land":[11,168,209],"urbanization":[12,15],"and":[13,23,38,78,93,117,139,150,182,204],"population":[14],"in":[16,30,61,74,100,103,128,171,180,198],"China.":[17],"It":[18],"is":[19],"necessary":[20],"identify":[22],"evaluate":[24],"the":[25,55,62,68,71,75,88,101,106,115,134,140,147,151,157,166,185,190,201,214],"change":[26,56,69],"this":[28,43,155],"long":[31,129],"time":[32],"series,":[33],"so":[34],"as":[35,144,146,184],"prevent":[37],"control":[39],"its":[40],"tendency.":[41],"In":[42,154],"paper,":[44,156],"we":[45],"proposed":[46],"novel":[48],"ghost":[49],"city":[50],"index":[51,210],"(NGCI)":[52],"that":[53],"combines":[54],"nighttime":[58],"light":[59],"intensity":[60],"built-up":[63,76,79],"area":[64,73],"featuring":[65],"spatial-temporal":[66],"characteristics,":[67],"plaque":[72],"area,":[77],"area-population":[80],"proportion":[81],"with":[82,165,200],"present":[83,148],"situation.":[84],"These":[85],"parameters":[86],"considering":[87],"spatio-temporal":[89,152],"variations":[90],"from":[91],"multi-source":[92],"multi-temporal":[94],"remote":[95,141],"sensing":[96,142],"data":[97],"are":[98,124],"introduced":[99],"NGCI":[102,161,193],"comparison":[104],"conventional":[107,191],"GCI":[108],"based":[109],"on":[110],"statistical":[111,137],"yearbook":[112],"data.":[113],"Moreover,":[114],"emergence":[116],"development":[118,167,208],"processes":[119],"\u201cghost":[121,217],"taken":[125],"into":[126],"account":[127],"temporal":[130],"series":[131],"realize":[133],"fusion":[135],"analysis":[138],"technology":[143],"well":[145],"situation":[149],"characteristics.":[153],"rationality":[158],"identifying":[160,194],"has":[162],"been":[163],"conducted":[164],"per":[169,211],"capita":[170,212],"all":[172],"cities":[173],"subordinated":[174],"Guangxi":[176],"Zhuang":[177],"Autonomous":[178],"Region":[179],"2012":[181],"2015":[183],"reference":[186],"standard.":[187],"Comparing":[188],"GCI,":[192],"results":[195],"were":[196],"highly":[197],"consistent":[199],"numerical":[202],"distribution":[203],"variation":[205],"trend":[206],"towards":[213],"identification":[215],"phenonmenon.":[219]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}