{"id":"https://openalex.org/W2548108509","doi":"https://doi.org/10.1109/igarss.2016.7730767","title":"An alternative method of urban built-up area extraction using Landsat time series data","display_name":"An alternative method of urban built-up area extraction using Landsat time series data","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2548108509","doi":"https://doi.org/10.1109/igarss.2016.7730767","mag":"2548108509"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2016.7730767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7730767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5100400217","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0001-7835-9871"},"institutions":[{"id":"https://openalex.org/I4210141849","display_name":"National Administration of Surveying, Mapping and Geoinformation of China","ror":"https://ror.org/04z3map19","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210141849"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["National Geomatics Center of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Geomatics Center of China, Beijing, China","institution_ids":["https://openalex.org/I4210141849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100742536","display_name":"Peijun Li","orcid":"https://orcid.org/0000-0002-4989-9892"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peijun Li","raw_affiliation_strings":["Institute of Remote Sensing and GIS, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and GIS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074745804","display_name":"Hongwei Zhang","orcid":"https://orcid.org/0000-0002-1515-9909"},"institutions":[{"id":"https://openalex.org/I4210141849","display_name":"National Administration of Surveying, Mapping and Geoinformation of China","ror":"https://ror.org/04z3map19","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210141849"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongwei Zhang","raw_affiliation_strings":["National Geomatics Center of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Geomatics Center of China, Beijing, China","institution_ids":["https://openalex.org/I4210141849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102713928","display_name":"Peng Shu","orcid":"https://orcid.org/0000-0002-5970-9992"},"institutions":[{"id":"https://openalex.org/I4210141849","display_name":"National Administration of Surveying, Mapping and Geoinformation of China","ror":"https://ror.org/04z3map19","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210141849"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu Peng","raw_affiliation_strings":["National Geomatics Center of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Geomatics Center of China, Beijing, China","institution_ids":["https://openalex.org/I4210141849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351499","display_name":"Ming Li","orcid":"https://orcid.org/0000-0003-1134-6990"},"institutions":[{"id":"https://openalex.org/I4210141849","display_name":"National Administration of Surveying, Mapping and Geoinformation of China","ror":"https://ror.org/04z3map19","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210141849"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Li","raw_affiliation_strings":["National Geomatics Center of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Geomatics Center of China, Beijing, China","institution_ids":["https://openalex.org/I4210141849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024993586","display_name":"Zhi Ye","orcid":"https://orcid.org/0000-0002-0279-0742"},"institutions":[{"id":"https://openalex.org/I1302611135","display_name":"Ministry of Public Security of the People's Republic of China","ror":"https://ror.org/00bt9we26","country_code":"CN","type":"government","lineage":["https://openalex.org/I1302611135"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Zhi","raw_affiliation_strings":["Road Traffic Safety Research Center of the Ministry of Public Security, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Road Traffic Safety Research Center of the Ministry of Public Security, Beijing, China","institution_ids":["https://openalex.org/I1302611135"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100400217"],"corresponding_institution_ids":["https://openalex.org/I4210141849"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08741502,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"15","issue":null,"first_page":"6770","last_page":"6773"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9988999962806702,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9988999962806702,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9976000189781189,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7295039296150208},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.6572999954223633},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6084138751029968},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5931177735328674},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5851747393608093},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.4995453357696533},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49638301134109497},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.49057239294052124},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4759630560874939},{"id":"https://openalex.org/keywords/built-up-area","display_name":"Built-up area","score":0.4411940276622772},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35084718465805054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3173173666000366},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.31522688269615173},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22570151090621948},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.19045627117156982}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7295039296150208},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.6572999954223633},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6084138751029968},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5931177735328674},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5851747393608093},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.4995453357696533},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49638301134109497},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.49057239294052124},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4759630560874939},{"id":"https://openalex.org/C2780105985","wikidata":"https://www.wikidata.org/wiki/Q702492","display_name":"Built-up area","level":3,"score":0.4411940276622772},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35084718465805054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3173173666000366},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.31522688269615173},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22570151090621948},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.19045627117156982},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2016.7730767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7730767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1594031697","https://openalex.org/W2038819298","https://openalex.org/W2040764952","https://openalex.org/W2079740553","https://openalex.org/W2081829028","https://openalex.org/W2110672367","https://openalex.org/W2140908571","https://openalex.org/W2330820318","https://openalex.org/W2911964244","https://openalex.org/W6676295471"],"related_works":["https://openalex.org/W2153381734","https://openalex.org/W2050072374","https://openalex.org/W3133615129","https://openalex.org/W2087854757","https://openalex.org/W2188959887","https://openalex.org/W2373152553","https://openalex.org/W4389201442","https://openalex.org/W2386169820","https://openalex.org/W604251607","https://openalex.org/W3170595163"],"abstract_inverted_index":{"Urban":[0],"built-up":[1,18,69,111],"area":[2,19,70,112,148],"information":[3],"is":[4,26,85,90,104,117],"pivotal":[5],"to":[6,31,68],"understand":[7],"complex":[8],"drivers":[9],"and":[10,34,98,133],"mechanisms":[11],"in":[12,107],"global":[13],"climate":[14],"change":[15],"application.":[16],"However,":[17],"extraction":[20,71],"using":[21,72,94,122,127,134],"Landsat":[22,77,125],"time":[23,54,74,87],"series":[24,55,75,88],"data":[25],"a":[27],"challenging":[28],"task":[29],"due":[30],"spatial-temporal":[32],"expression":[33],"modeling":[35],"of":[36,47,59,76,82,146],"land":[37,48],"cover":[38],"types.":[39],"To":[40],"provide":[41],"insights":[42],"into":[43],"the":[44,83,140,144],"intra-annual":[45,73],"dynamics":[46],"use":[49],"change,":[50],"focusing":[51],"on":[52],"how":[53],"characteristics":[56,89],"improves":[57,143],"recognition":[58],"urban":[60,147],",":[61],"this":[62],"paper":[63],"presents":[64],"an":[65],"alternative":[66],"method":[67,116,142],"images.":[78],"The":[79,100,114],"central":[80],"premise":[81],"approach":[84],"that":[86,139],"firstly":[91],"expressed":[92],"by":[93,130],"spectral":[95],"data,":[96,126],"index":[97],"feature.":[99],"random":[101],"forests":[102],"algorithm":[103],"then":[105],"used":[106],"classification":[108],"process":[109],"for":[110],"extraction.":[113,149],"proposed":[115,141],"further":[118],"compared":[119],"with":[120],"methods":[121],"single":[123],"temporal":[124],"features":[128],"selected":[129],"laplacian":[131],"score":[132],"different":[135],"classifiers.":[136],"Results":[137],"demonstrate":[138],"accuracy":[145]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
