{"id":"https://openalex.org/W4307430885","doi":"https://doi.org/10.1109/tip.2022.3216481","title":"Open-Source Data-Driven Cross-Domain Road Detection From Very High Resolution Remote Sensing Imagery","display_name":"Open-Source Data-Driven Cross-Domain Road Detection From Very High Resolution Remote Sensing Imagery","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4307430885","doi":"https://doi.org/10.1109/tip.2022.3216481","pmid":"https://pubmed.ncbi.nlm.nih.gov/36301789"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2022.3216481","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3216481","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5011042925","display_name":"Xiaoyan Lu","orcid":"https://orcid.org/0000-0002-9026-8195"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]},{"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","US"],"is_corresponding":false,"raw_author_name":"Xiaoyan Lu","raw_affiliation_strings":["Institute for Sustainability, Energy, and Environment, University of Illinois at Urbana-Champaign, Urbana, IL, USA","State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-9026-8195","affiliations":[{"raw_affiliation_string":"Institute for Sustainability, Energy, and Environment, University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100754351","display_name":"Yanfei Zhong","orcid":"https://orcid.org/0000-0001-9446-5850"},"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":false,"raw_author_name":"Yanfei Zhong","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-9446-5850","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]},{"raw_affiliation_string":"Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100673818","display_name":"Liangpei Zhang","orcid":"https://orcid.org/0000-0001-6890-3650"},"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":false,"raw_author_name":"Liangpei Zhang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-6890-3650","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]},{"raw_affiliation_string":"Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4202,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.88409792,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"31","issue":null,"first_page":"6847","last_page":"6862"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":1.0,"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"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9958999752998352,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7759969830513},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5956919193267822},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5632294416427612},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.535210371017456},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4767766296863556},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4175885319709778},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38877415657043457},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3665226697921753},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3124789893627167},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11796998977661133},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09011700749397278}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7759969830513},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5956919193267822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5632294416427612},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.535210371017456},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4767766296863556},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4175885319709778},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38877415657043457},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3665226697921753},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3124789893627167},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11796998977661133},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09011700749397278},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2022.3216481","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3216481","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:36301789","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36301789","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1223461643","display_name":"\u9ad8\u5149\u8c31\u9065\u611f\u5f71\u50cf\u6df1\u5ea6\u975e\u7ebf\u6027\u4e9a\u50cf\u5143\u5236\u56fe\u65b9\u6cd5\u7814\u7a76","funder_award_id":"42071350","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/F4320326938","display_name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing","ror":"https://ror.org/02bpap860"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1837697898","https://openalex.org/W1882958252","https://openalex.org/W1903029394","https://openalex.org/W1969483458","https://openalex.org/W2088237181","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2331128040","https://openalex.org/W2344888645","https://openalex.org/W2412782625","https://openalex.org/W2593886839","https://openalex.org/W2735039185","https://openalex.org/W2774320778","https://openalex.org/W2780861787","https://openalex.org/W2798925380","https://openalex.org/W2804199516","https://openalex.org/W2811199523","https://openalex.org/W2893801697","https://openalex.org/W2907214745","https://openalex.org/W2917187459","https://openalex.org/W2919115771","https://openalex.org/W2932414082","https://openalex.org/W2942366787","https://openalex.org/W2943070176","https://openalex.org/W2943898693","https://openalex.org/W2962808524","https://openalex.org/W2962947361","https://openalex.org/W2963073217","https://openalex.org/W2963073614","https://openalex.org/W2963107255","https://openalex.org/W2963198662","https://openalex.org/W2964098128","https://openalex.org/W2965927626","https://openalex.org/W2967073193","https://openalex.org/W2969552583","https://openalex.org/W2969786836","https://openalex.org/W2975194617","https://openalex.org/W2979583169","https://openalex.org/W2981329832","https://openalex.org/W2981512393","https://openalex.org/W2982628450","https://openalex.org/W2985374865","https://openalex.org/W2989738275","https://openalex.org/W2994612321","https://openalex.org/W2997195386","https://openalex.org/W3009268227","https://openalex.org/W3014055653","https://openalex.org/W3017075957","https://openalex.org/W3020349519","https://openalex.org/W3026575546","https://openalex.org/W3035804495","https://openalex.org/W3042587578","https://openalex.org/W3045791386","https://openalex.org/W3047725879","https://openalex.org/W3081260473","https://openalex.org/W3081791696","https://openalex.org/W3094309934","https://openalex.org/W3102667387","https://openalex.org/W3105636206","https://openalex.org/W3120272319","https://openalex.org/W3147628841","https://openalex.org/W3197182108","https://openalex.org/W3216963209","https://openalex.org/W4298289240","https://openalex.org/W6637373629","https://openalex.org/W6637568146","https://openalex.org/W6639480849","https://openalex.org/W6702130928","https://openalex.org/W6734074887","https://openalex.org/W6746282794","https://openalex.org/W6766620458","https://openalex.org/W6967163675"],"related_works":["https://openalex.org/W2121524756","https://openalex.org/W2062195135","https://openalex.org/W782553550","https://openalex.org/W2633218168","https://openalex.org/W2059707233","https://openalex.org/W4235897794","https://openalex.org/W1983126463","https://openalex.org/W2095126257","https://openalex.org/W2085738998","https://openalex.org/W3025157844"],"abstract_inverted_index":{"High-precision":[0],"road":[1,65,134,180,184,210,218,226],"detection":[2,211,227],"from":[3,186],"very":[4],"high":[5],"resolution":[6],"(VHR)":[7],"remote":[8],"sensing":[9],"images":[10],"has":[11,221],"broad":[12],"application":[13],"value.":[14],"However,":[15],"the":[16,35,68,72,77,85,90,101,104,111,120,123,149,153,157,163,166,175,189,200,208,214,225],"most":[17],"advanced":[18],"deep":[19],"learning":[20],"based":[21],"methods":[22],"often":[23],"fail":[24],"to":[25,42,50,118,139,161],"identify":[26],"roads":[27],"when":[28],"there":[29],"is":[30,61,82,88,95],"a":[31],"distribution":[32],"discrepancy":[33],"between":[34],"training":[36,151],"samples":[37],"and":[38,79,129,178,182,191,213],"test":[39],"samples,":[40,143],"due":[41],"their":[43],"limited":[44],"generalization":[45],"ability.":[46],"In":[47],"this":[48,52],"paper,":[49],"address":[51],"problem,":[53],"an":[54],"open-source":[55,128],"data-driven":[56],"domain-specific":[57,91,112],"representation":[58,92,121],"(OSM-DOER)":[59],"framework":[60,94,203],"proposed":[62,167,201],"for":[63,156,224],"cross-domain":[64],"detection.":[66],"On":[67],"one":[69],"hand,":[70],"as":[71,152],"spatial":[73,105],"structure":[74,106],"information":[75,87,155],"of":[76,103,122,165,216],"source":[78],"target":[80,124,141,158],"domains":[81],"similar,":[83],"but":[84,108],"texture":[86,113],"different,":[89],"(DOER)":[93],"proposed,":[96],"which":[97,144],"not":[98],"only":[99],"aligns":[100],"distributions":[102],"information,":[107],"also":[109],"learns":[110],"information.":[114],"Furthermore,":[115],"in":[116,148,188,193],"order":[117],"enhance":[119],"domain":[125,142],"data":[126,136,220],"distribution,":[127],"freely":[130],"available":[131],"OpenStreetMap":[132],"(OSM)":[133],"centerline":[135,219],"are":[137,145],"utilized":[138],"generate":[140],"then":[146],"used":[147],"network":[150],"supervised":[154],"domain.":[159],"Finally,":[160],"verify":[162],"superiority":[164],"OSM-DOER":[168,202],"framework,":[169],"we":[170],"conducted":[171],"extensive":[172],"experiments":[173],"with":[174],"public":[176],"SpaceNet":[177],"DeepGlobe":[179],"datasets,":[181],"large-scale":[183],"datasets":[185],"Birmingham":[187],"UK":[190],"Shanghai":[192],"China.":[194],"The":[195],"experimental":[196],"results":[197],"demonstrate":[198],"that":[199],"shows":[204],"obvious":[205],"advantages":[206],"over":[207],"mainstream":[209],"methods,":[212],"use":[215],"OSM":[217],"great":[222],"potential":[223],"task.":[228]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}