{"id":"https://openalex.org/W4409152642","doi":"https://doi.org/10.1109/lgrs.2025.3557845","title":"Geographic Prior Guided Subpixel Mapping for Fine-Grained Urban Tree Cover Reconstruction","display_name":"Geographic Prior Guided Subpixel Mapping for Fine-Grained Urban Tree Cover Reconstruction","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409152642","doi":"https://doi.org/10.1109/lgrs.2025.3557845"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2025.3557845","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3557845","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5101566314","display_name":"Jingqian Xue","orcid":"https://orcid.org/0009-0003-2591-2719"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jingqian Xue","raw_affiliation_strings":["Urban Governance and Design Thrust, Society Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Urban Governance and Design Thrust, Society Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100613120","display_name":"Ziheng Zhang","orcid":"https://orcid.org/0000-0002-5938-4729"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziheng Zhang","raw_affiliation_strings":["School of Geography and Planning, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography and Planning, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yan Zhou","orcid":"https://orcid.org/0009-0003-1547-9181"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zhou","raw_affiliation_strings":["School of Geography and Planning, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0003-1547-9181","affiliations":[{"raw_affiliation_string":"School of Geography and Planning, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046924523","display_name":"Lina Yuan","orcid":"https://orcid.org/0000-0002-2163-4550"},"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":"Lina Yuan","raw_affiliation_strings":["Key Laboratory of Geographic Information Science, Ministry of Education, School of Geographic Sciences and the School of Geospatial Artificial Intelligence, East China Normal University, Shanghai, China","Ministry of Education, School of Geographic Sciences, Key Laboratory of Geographic Information Science, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Geographic Information Science, Ministry of Education, School of Geographic Sciences and the School of Geospatial Artificial Intelligence, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Ministry of Education, School of Geographic Sciences, Key Laboratory of Geographic Information Science, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080236734","display_name":"Da He","orcid":"https://orcid.org/0000-0002-7998-1045"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Da He","raw_affiliation_strings":["School of Geography and Planning, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7998-1045","affiliations":[{"raw_affiliation_string":"School of Geography and Planning, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xiaoping Liu","orcid":"https://orcid.org/0000-0003-4242-5392"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoping Liu","raw_affiliation_strings":["School of Geography and Planning, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4242-5392","affiliations":[{"raw_affiliation_string":"School of Geography and Planning, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4971,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59778292,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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":0.9950000047683716,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9894999861717224,"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/cover","display_name":"Cover (algebra)","score":0.6739050149917603},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5521581768989563},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.5349268913269043},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5049548745155334},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48071008920669556},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3720278739929199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23843535780906677},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.21854755282402039},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1960037350654602},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13540726900100708}],"concepts":[{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.6739050149917603},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5521581768989563},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.5349268913269043},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5049548745155334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48071008920669556},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3720278739929199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23843535780906677},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.21854755282402039},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1960037350654602},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13540726900100708},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2025.3557845","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3557845","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G5884479350","display_name":null,"funder_award_id":"42201340","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1973749534","https://openalex.org/W2082168580","https://openalex.org/W2118722179","https://openalex.org/W2928351920","https://openalex.org/W2963107255","https://openalex.org/W3040323135","https://openalex.org/W3175294391","https://openalex.org/W4200187170","https://openalex.org/W4315783773","https://openalex.org/W4386127154","https://openalex.org/W4388152217","https://openalex.org/W4390874575","https://openalex.org/W4403243745","https://openalex.org/W6733525777"],"related_works":["https://openalex.org/W4232403550","https://openalex.org/W623607250","https://openalex.org/W4245429118","https://openalex.org/W4205110281","https://openalex.org/W4212927854","https://openalex.org/W4211151614","https://openalex.org/W4244798043","https://openalex.org/W3135697610","https://openalex.org/W2088899772","https://openalex.org/W1537861260"],"abstract_inverted_index":{"Benefiting":[0],"from":[1,51,73],"long-term":[2],"time":[3],"series":[4],"and":[5,65,89,176,187,223],"large":[6],"spatial":[7,87,133,160,228],"coverage,":[8],"Sentinel-2":[9,24],"has":[10],"been":[11],"widely":[12],"used":[13],"in":[14,23,123,227],"urban":[15,32,48,114,196,212],"tree":[16,33,49,115,146,197,213],"cover":[17,50,116,198,214],"retrieval.":[18],"However,":[19],"mixed":[20],"pixel":[21],"effects":[22],"imagery":[25,72,138],"make":[26],"it":[27],"challenging":[28],"to":[29,44,219],"accurately":[30],"identify":[31],"covers.":[34],"To":[35,98],"address":[36,99],"this":[37,102],"problem,":[38],"Sub-Pixel":[39],"Mapping":[40,110],"(SPM)":[41],"is":[42,121],"developed":[43],"reconstruct":[45],"a":[46,105,129,164],"high-resolution":[47,71,137],"medium-resolution":[52,62],"imagery.":[53,97,150],"While":[54],"deep-learning-based":[55],"SPM":[56,68,155,222],"seeks":[57],"fine-grained":[58,152],"patterns":[59],"solely":[60],"within":[61],"feature":[63,174],"spaces":[64],"spatiotemporal":[66],"fusion-based":[67],"leverages":[69],"additional":[70],"different":[74,181],"times":[75],"at":[76],"the":[77,83,90,124,172,202,206],"same":[78],"location,":[79],"both":[80],"face":[81],"limitations:":[82],"former":[84],"lacks":[85],"detailed":[86,142],"constraints,":[88],"latter":[91],"struggles":[92],"with":[93],"acquiring":[94],"geographically":[95],"aligned":[96],"these":[100],"challenges,":[101],"study":[103],"proposes":[104],"Geographic":[106],"Prior":[107],"guided":[108],"Sub-pixel":[109],"(GPSPM)":[111],"approach":[112],"for":[113],"reconstruction.":[117],"The":[118],"geographic":[119,182],"prior":[120,161],"grounded":[122],"scaling":[125],"law":[126],"of":[127,132,211],"geography,":[128],"fundamental":[130],"principle":[131],"heterogeneity":[134],"stating":[135],"that":[136,201],"contains":[139],"far":[140],"more":[141],"features":[143,153],"(e.g.,":[144],"small":[145],"parcels)":[147],"than":[148],"lower-resolution":[149],"These":[151],"enhance":[154],"by":[156,215],"providing":[157],"robust":[158],"cross-scale":[159,184],"based":[162],"on":[163,194],"\u201cteacher-student\u201d":[165],"domain":[166],"adaptation":[167],"training":[168],"framework.":[169],"Besides,":[170],"considering":[171],"geometric":[173],"discrepancy":[175],"long-tail":[177],"distribution":[178],"exists":[179],"across":[180],"scales,":[183],"image":[185],"mosaicking":[186],"resampling":[188],"strategy":[189],"are":[190],"further":[191],"developed.":[192],"Experiments":[193],"public":[195],"dataset":[199],"demonstrate":[200],"proposed":[203],"method":[204],"improves":[205],"Intersection":[207],"over":[208],"Union":[209],"(IoU)":[210],"approximately":[216],"5%":[217],"compared":[218],"traditional":[220],"unsupervised":[221],"shows":[224],"significant":[225],"improvements":[226],"detail":[229],"quality.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}