{"id":"https://openalex.org/W2733139723","doi":"https://doi.org/10.3390/rs9070663","title":"Urban Area Extraction by Regional and Line Segment Feature Fusion and Urban Morphology Analysis","display_name":"Urban Area Extraction by Regional and Line Segment Feature Fusion and Urban Morphology Analysis","publication_year":2017,"publication_date":"2017-06-28","ids":{"openalex":"https://openalex.org/W2733139723","doi":"https://doi.org/10.3390/rs9070663","mag":"2733139723"},"language":"en","primary_location":{"id":"doi:10.3390/rs9070663","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs9070663","pdf_url":"https://www.mdpi.com/2072-4292/9/7/663/pdf?version=1498659117","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/2072-4292/9/7/663/pdf?version=1498659117","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100401724","display_name":"Qian Zhang","orcid":"https://orcid.org/0000-0003-3041-643X"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Zhang","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University, Shanghai 200241, China"],"raw_orcid":"https://orcid.org/0000-0003-3041-643X","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, Shanghai 200241, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031729932","display_name":"Xin Huang","orcid":"https://orcid.org/0000-0002-5625-0338"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Huang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060120202","display_name":"Guixu Zhang","orcid":"https://orcid.org/0000-0003-4720-6607"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guixu Zhang","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University, Shanghai 200241, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, Shanghai 200241, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031729932","https://openalex.org/A5060120202"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728","https://openalex.org/I66867065"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2784},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2784},"fwci":1.2467,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.75764167,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"9","issue":"7","first_page":"663","last_page":"663"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9984999895095825,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9970999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.6576592922210693},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5435447692871094},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.5358918905258179},{"id":"https://openalex.org/keywords/mathematical-morphology","display_name":"Mathematical morphology","score":0.5060281157493591},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.5055334568023682},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.48938077688217163},{"id":"https://openalex.org/keywords/urban-morphology","display_name":"Urban morphology","score":0.4555983245372772},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43110769987106323},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.3750070333480835},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.369829922914505},{"id":"https://openalex.org/keywords/urban-planning","display_name":"Urban planning","score":0.3459962010383606},{"id":"https://openalex.org/keywords/physical-geography","display_name":"Physical geography","score":0.33212125301361084},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.31608471274375916},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17219889163970947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16785231232643127},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.15840432047843933},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10729926824569702}],"concepts":[{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.6576592922210693},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5435447692871094},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.5358918905258179},{"id":"https://openalex.org/C185568154","wikidata":"https://www.wikidata.org/wiki/Q530242","display_name":"Mathematical morphology","level":4,"score":0.5060281157493591},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.5055334568023682},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.48938077688217163},{"id":"https://openalex.org/C2779090739","wikidata":"https://www.wikidata.org/wiki/Q1385705","display_name":"Urban morphology","level":3,"score":0.4555983245372772},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43110769987106323},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.3750070333480835},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.369829922914505},{"id":"https://openalex.org/C49545453","wikidata":"https://www.wikidata.org/wiki/Q69883","display_name":"Urban planning","level":2,"score":0.3459962010383606},{"id":"https://openalex.org/C100970517","wikidata":"https://www.wikidata.org/wiki/Q52107","display_name":"Physical geography","level":1,"score":0.33212125301361084},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.31608471274375916},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17219889163970947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16785231232643127},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.15840432047843933},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10729926824569702},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"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":2,"locations":[{"id":"doi:10.3390/rs9070663","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs9070663","pdf_url":"https://www.mdpi.com/2072-4292/9/7/663/pdf?version=1498659117","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:mdpi.com:/2072-4292/9/7/663/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs9070663","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/rs9070663","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs9070663","pdf_url":"https://www.mdpi.com/2072-4292/9/7/663/pdf?version=1498659117","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":[{"score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G2204733352","display_name":null,"funder_award_id":"41301472","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2753276349","display_name":null,"funder_award_id":"41522110","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6563026412","display_name":null,"funder_award_id":"61372147","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320333688","display_name":"National Outstanding Youth Science Fund Project of National Natural Science Foundation of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2733139723.pdf","grobid_xml":"https://content.openalex.org/works/W2733139723.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W72848136","https://openalex.org/W1496953803","https://openalex.org/W1964061986","https://openalex.org/W1964555431","https://openalex.org/W1966411833","https://openalex.org/W1969208324","https://openalex.org/W1989919782","https://openalex.org/W1990653740","https://openalex.org/W1996534964","https://openalex.org/W1996777760","https://openalex.org/W2002733460","https://openalex.org/W2005672614","https://openalex.org/W2006658341","https://openalex.org/W2021278996","https://openalex.org/W2026942553","https://openalex.org/W2035168298","https://openalex.org/W2044609898","https://openalex.org/W2058436841","https://openalex.org/W2058767877","https://openalex.org/W2085665642","https://openalex.org/W2094455438","https://openalex.org/W2102566458","https://openalex.org/W2102605133","https://openalex.org/W2103932719","https://openalex.org/W2110161540","https://openalex.org/W2110357101","https://openalex.org/W2116639046","https://openalex.org/W2129433145","https://openalex.org/W2130121312","https://openalex.org/W2131438174","https://openalex.org/W2132637576","https://openalex.org/W2133059825","https://openalex.org/W2136635809","https://openalex.org/W2147258346","https://openalex.org/W2153635508","https://openalex.org/W2155632266","https://openalex.org/W2163114261","https://openalex.org/W2290277228","https://openalex.org/W2326674917","https://openalex.org/W2327273398","https://openalex.org/W2334867485","https://openalex.org/W2342696299","https://openalex.org/W2399482152","https://openalex.org/W2504907417","https://openalex.org/W2533591126","https://openalex.org/W2581054824","https://openalex.org/W2593542728","https://openalex.org/W2610884537","https://openalex.org/W2919115771","https://openalex.org/W3154664134","https://openalex.org/W4245539475","https://openalex.org/W4288076010"],"related_works":["https://openalex.org/W3207046288","https://openalex.org/W3023446922","https://openalex.org/W4324030030","https://openalex.org/W4392566681","https://openalex.org/W1980260791","https://openalex.org/W4385533602","https://openalex.org/W2021379394","https://openalex.org/W2362244226","https://openalex.org/W2163139736","https://openalex.org/W3145248738"],"abstract_inverted_index":{"Urban":[0],"areas":[1,26,156,168],"are":[2,131,169],"a":[3,12,31,61,198],"complex":[4],"combination":[5],"of":[6,14,79,164,189],"various":[7],"land-cover":[8],"types,":[9],"and":[10,17,27,52,75,105,140,166,173,219,226],"show":[11],"variety":[13],"land-use":[15],"structures":[16],"spatial":[18,37,81,180],"layouts.":[19],"Furthermore,":[20],"the":[21,72,92,99,110,120,123,136,138,141,150,162,190,203,206,230,234],"spectral":[22],"similarity":[23],"between":[24],"built-up":[25],"bare":[28],"land":[29],"is":[30,68,88,115,147,193],"great":[32],"challenge":[33],"when":[34],"using":[35,149],"high":[36,80],"resolution":[38,82],"remote":[39],"sensing":[40],"images":[41,48,221],"to":[42,118,153,196],"map":[43],"urban":[44,65,86,155,165,175,191],"areas,":[45],"especially":[46],"for":[47,64],"obtained":[49,215,222],"in":[50,184],"dry":[51],"cold":[53],"seasons":[54,227],"or":[55],"high-latitude":[56],"regions.":[57],"In":[58,126,160],"this":[59,185],"study,":[60,186],"new":[62,208],"procedure":[63],"area":[66,176],"extraction":[67],"presented":[69],"based":[70,134],"on":[71,135],"high-level,":[73],"regional,":[74],"line":[76,106,142],"segment":[77,119],"features":[78,130,152],"satellite":[83],"data.":[84],"The":[85,212],"morphology":[87,192],"also":[89],"analyzed.":[90],"Firstly,":[91],"primitive":[93],"features\u2014the":[94],"morphological":[95],"building":[96],"index":[97,103],"(MBI),":[98],"normalized":[100],"difference":[101],"vegetation":[102],"(NDVI),":[104],"segments\u2014are":[107],"extracted":[108,133],"from":[109,157,223],"original":[111],"images.":[112],"Chessboard":[113],"segmentation":[114],"then":[116,132],"used":[117],"image":[121],"into":[122],"same-size":[124],"objects.":[125],"each":[127,174],"object,":[128],"advanced":[129],"MBI,":[137],"NDVI,":[139],"segments.":[143],"Subsequently,":[144],"object-oriented":[145],"classification":[146],"implemented":[148],"above":[151],"distinguish":[154],"non-urban":[158,167],"areas.":[159],"general,":[161],"boundaries":[163],"not":[170],"very":[171],"clear,":[172],"has":[177],"its":[178],"own":[179],"structure":[181],"characteristic.":[182],"Hence,":[183],"an":[187],"analysis":[188],"carried":[194],"out":[195],"obtain":[197],"clear":[199],"regional":[200],"structure,":[201],"showing":[202],"main":[204],"city,":[205],"surrounding":[207],"development":[209],"zones,":[210],"etc.":[211],"experimental":[213],"results":[214],"with":[216],"six":[217],"WorldView-2":[218],"Gaofen-2":[220],"different":[224],"regions":[225],"demonstrate":[228],"that":[229],"proposed":[231],"method":[232],"outperforms":[233],"current":[235],"state-of-the-art":[236],"methods.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
