{"id":"https://openalex.org/W4394711520","doi":"https://doi.org/10.1109/tgrs.2024.3387022","title":"HR-UVFormer: A Top-Down and Multimodal Hierarchical Extraction Approach for Urban Villages","display_name":"HR-UVFormer: A Top-Down and Multimodal Hierarchical Extraction Approach for Urban Villages","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4394711520","doi":"https://doi.org/10.1109/tgrs.2024.3387022"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3387022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3387022","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/A5086004152","display_name":"Xin Tan","orcid":"https://orcid.org/0009-0002-0390-3603"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","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":"Xin Tan","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-0390-3603","affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046972821","display_name":"Qingyan Meng","orcid":"https://orcid.org/0000-0002-5440-4081"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","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"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyan Meng","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","Key Laboratory of Earth Observation of Hainan Province, Hainan Aerospace Information Research Institute, Sanya, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5440-4081","affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Earth Observation of Hainan Province, Hainan Aerospace Information Research Institute, Sanya, China","institution_ids":["https://openalex.org/I4210137199"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100329775","display_name":"Fei Zhao","orcid":"https://orcid.org/0000-0002-2801-0775"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Zhao","raw_affiliation_strings":["School of Earth Sciences, Yunnan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-2801-0775","affiliations":[{"raw_affiliation_string":"School of Earth Sciences, Yunnan University, Wuhan, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100437369","display_name":"Linlin Zhang","orcid":"https://orcid.org/0000-0001-5073-1694"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","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"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Zhang","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China","Key Laboratory of Earth Observation of Hainan Province, Hainan Aerospace Information Research Institute, Sanya, China"],"raw_orcid":"https://orcid.org/0000-0001-5073-1694","affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Key Laboratory of Earth Observation of Hainan Province, Hainan Aerospace Information Research Institute, Sanya, China","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101927469","display_name":"Xinli Hu","orcid":"https://orcid.org/0000-0002-4529-1898"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","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"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinli Hu","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China","Key Laboratory of Earth Observation of Hainan Province, Hainan Aerospace Information Research Institute, Sanya, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Key Laboratory of Earth Observation of Hainan Province, Hainan Aerospace Information Research Institute, Sanya, China","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081809992","display_name":"Tam\u00e1s Jancs\u00f3","orcid":"https://orcid.org/0000-0003-4954-7202"},"institutions":[{"id":"https://openalex.org/I103356709","display_name":"Obuda University","ror":"https://ror.org/00ax71d21","country_code":"HU","type":"education","lineage":["https://openalex.org/I103356709"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Tam\u00e1s Jancs\u00f3","raw_affiliation_strings":["Alba Regia Technical Faculty, Obuda University, Szekesfehervar, Hungary","Alba Regia Technical Faculty, Obuda University, Budai ut 45, Szekesfehervar, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alba Regia Technical Faculty, Obuda University, Szekesfehervar, Hungary","institution_ids":["https://openalex.org/I103356709"]},{"raw_affiliation_string":"Alba Regia Technical Faculty, Obuda University, Budai ut 45, Szekesfehervar, Hungary","institution_ids":["https://openalex.org/I103356709"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7271,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.89713638,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9976999759674072,"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":0.9976999759674072,"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/T11963","display_name":"Impact of Light on Environment and Health","score":0.9919999837875366,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9847000241279602,"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/granularity","display_name":"Granularity","score":0.6987804770469666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.692888617515564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5974413752555847},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5619300007820129},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5500286817550659},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5441653728485107},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5353280901908875},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49006903171539307},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42702075839042664},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3758413791656494},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36727696657180786},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.16451513767242432},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.12448486685752869}],"concepts":[{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.6987804770469666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.692888617515564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5974413752555847},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5619300007820129},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5500286817550659},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5441653728485107},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5353280901908875},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49006903171539307},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42702075839042664},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3758413791656494},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36727696657180786},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16451513767242432},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.12448486685752869},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3387022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3387022","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":[{"display_name":"Sustainable cities and communities","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2131151903","display_name":null,"funder_award_id":"42192580","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2476434723","display_name":null,"funder_award_id":"2023139","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G3363016528","display_name":null,"funder_award_id":"42192584","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/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W2017619079","https://openalex.org/W2020940157","https://openalex.org/W2045120358","https://openalex.org/W2067654461","https://openalex.org/W2070512596","https://openalex.org/W2076739456","https://openalex.org/W2087553096","https://openalex.org/W2112620321","https://openalex.org/W2145970940","https://openalex.org/W2186961306","https://openalex.org/W2194775991","https://openalex.org/W2338897872","https://openalex.org/W2552592558","https://openalex.org/W2588275992","https://openalex.org/W2608257556","https://openalex.org/W2765226977","https://openalex.org/W2766673287","https://openalex.org/W2769726526","https://openalex.org/W2785597444","https://openalex.org/W2790418319","https://openalex.org/W2901077311","https://openalex.org/W2939078500","https://openalex.org/W2943287822","https://openalex.org/W2943325261","https://openalex.org/W3004770763","https://openalex.org/W3010090408","https://openalex.org/W3031127588","https://openalex.org/W3034880358","https://openalex.org/W3044818800","https://openalex.org/W3129857656","https://openalex.org/W3138516171","https://openalex.org/W3212859355","https://openalex.org/W4200234009","https://openalex.org/W4206603952","https://openalex.org/W4214816907","https://openalex.org/W4214883615","https://openalex.org/W4225149043","https://openalex.org/W4281863163","https://openalex.org/W4283578033","https://openalex.org/W4283747463","https://openalex.org/W4285161910","https://openalex.org/W4285273674","https://openalex.org/W4294643358","https://openalex.org/W4296473301","https://openalex.org/W4308720495","https://openalex.org/W4309189392","https://openalex.org/W4309325582","https://openalex.org/W4319157933","https://openalex.org/W4362681541","https://openalex.org/W4378194624","https://openalex.org/W4388152217","https://openalex.org/W6756308226","https://openalex.org/W6773809936","https://openalex.org/W6795140394","https://openalex.org/W6797399245"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W103652678","https://openalex.org/W4226090359","https://openalex.org/W2059697060","https://openalex.org/W936373746","https://openalex.org/W2975817033","https://openalex.org/W4382701072","https://openalex.org/W4256502920"],"abstract_inverted_index":{"Urban":[0],"Villages":[1],"(UVs)":[2],"renovation":[3],"has":[4,203],"been":[5,34,204],"incorporated":[6],"into":[7],"the":[8,17,87,94,123,135,159,165,171,192,211,221,231],"Sustainable":[9],"Development":[10],"Goals":[11],"(SDGs)":[12],"as":[13],"a":[14,37,64,75,80,140,152],"result":[15],"of":[16,93,132,146,173,180],"inequality":[18],"issue":[19],"among":[20],"residents":[21],"garnering":[22],"substantial":[23],"social":[24],"attention.":[25],"However,":[26],"existing":[27],"deep-learning":[28],"techniques":[29],"for":[30],"UVs":[31,73,116,200],"extraction":[32,54,69,95,125,137,161,168],"have":[33],"limited":[35],"to":[36,47,79,85,114,164,223],"single":[38],"spatial":[39],"scale":[40,77],"(e.g.,":[41,105,228],"patch-level":[42],"or":[43],"pixel-level":[44],"extraction),":[45],"leading":[46],"inadequate":[48],"precision":[49],"and":[50,66,90,134,170,175,182,186,197,219,234],"integrity":[51],"in":[52,156,184,199,207],"their":[53],"outcomes.":[55],"To":[56],"overcome":[57],"this":[58,208],"limitation,":[59],"our":[60],"study":[61],"introduces":[62],"HR-UVFormer,":[63],"top-down":[65],"multimodal":[67,98,103],"hierarchical":[68,160],"approach":[70,99],"that":[71,122],"extracts":[72],"from":[74],"coarse":[76],"(patch)":[78],"fine":[81],"granularity":[82],"(pixel),":[83],"aiming":[84],"enhance":[86,115],"internal":[88],"completeness":[89],"boundary":[91],"accuracy":[92,126,130,138],"results.":[96],"The":[97,118],"can":[100,236],"effectively":[101],"fuse":[102],"features":[104,227],"building":[106],"footprints":[107],"(BF))":[108],"with":[109,158],"remote":[110],"sensing":[111],"images":[112],"(RSI)":[113],"extraction.":[117],"Shenzhen":[119],"results":[120],"indicate":[121],"coarse-scale":[124],"achieves":[127,139],"an":[128],"overall":[129],"(OA)":[131],"98.79%,":[133],"fine-grained":[136],"mean":[141],"Intersection":[142],"over":[143],"Union":[144],"(mIoU)":[145],"93.60%.":[147],"Furthermore,":[148],"ablation":[149],"experiments":[150],"demonstrate":[151],"notable":[153],"7.14%":[154],"improvement":[155],"mIoU":[157],"strategy":[162],"compared":[163],"traditional":[166],"pixel-based":[167],"strategy,":[169],"fusion":[172],"BF":[174,198],"RSI":[176,196],"yields":[177],"further":[178,205],"improvements":[179],"2.78%":[181],"0.65%":[183],"OA":[185],"mIoU,":[187],"respectively.":[188],"This":[189],"finding":[190],"confirms":[191],"synergistic":[193],"effect":[194],"between":[195],"extraction,":[201],"which":[202],"analyzed":[206],"study.":[209],"Additionally,":[210],"proposed":[212],"model":[213],"outperforms":[214],"other":[215],"deep":[216],"learning":[217],"models":[218],"exhibits":[220],"potential":[222],"support":[224],"more":[225],"modal":[226],"POI).":[229],"Finally,":[230],"experimental":[232],"dataset":[233],"code":[235],"be":[237],"publicly":[238],"accessed":[239],"at":[240],"https://github.com/q1310546582/HR-UVFormer-code.":[241]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
