{"id":"https://openalex.org/W4319990547","doi":"https://doi.org/10.1109/tgrs.2023.3241679","title":"Road Topology Extraction From Satellite Imagery by Joint Learning of Nodes and Their Connectivity","display_name":"Road Topology Extraction From Satellite Imagery by Joint Learning of Nodes and Their Connectivity","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4319990547","doi":"https://doi.org/10.1109/tgrs.2023.3241679"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3241679","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3241679","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/A5072140074","display_name":"Jinming Zhang","orcid":"https://orcid.org/0000-0001-7294-7496"},"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/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"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":"Jinming Zhang","raw_affiliation_strings":["Key Laboratory of Network Information System Technology, Institute of Electronic, Chinese Academy of Sciences, Beijing, China","Aerospace Information Research Institute, Chinese Academic of Sciences, Beijing, China","School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-7294-7496","affiliations":[{"raw_affiliation_string":"Key Laboratory of Network Information System Technology, Institute of Electronic, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academic of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199"]},{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102735163","display_name":"Xiangyun Hu","orcid":"https://orcid.org/0000-0003-3011-0983"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyun Hu","raw_affiliation_strings":["Hubei Luojia Laboratory, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","Institute of Artificial Intelligence in Geomatics, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3011-0983","affiliations":[{"raw_affiliation_string":"Hubei Luojia Laboratory, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Institute of Artificial Intelligence in Geomatics, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064497264","display_name":"Yujun Wei","orcid":"https://orcid.org/0000-0002-2455-1582"},"institutions":[{"id":"https://openalex.org/I4210107208","display_name":"China Railway Fifth Survey and Design Institute Group","ror":"https://ror.org/01rb6gh35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210107208"]},{"id":"https://openalex.org/I4391768287","display_name":"China Railway First Survey and Design Institute Group Co. Ltd.","ror":"https://ror.org/03qfm6382","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391768287"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujun Wei","raw_affiliation_strings":["China Railway First Survey and Design Institute Group Ltd., Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-2455-1582","affiliations":[{"raw_affiliation_string":"China Railway First Survey and Design Institute Group Ltd., Xi’an, China","institution_ids":["https://openalex.org/I4210107208","https://openalex.org/I4391768287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115601505","display_name":"Lili Zhang","orcid":"https://orcid.org/0000-0002-8566-7298"},"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":"Lili Zhang","raw_affiliation_strings":["Key Laboratory of Network Information System Technology, Institute of Electronic, Chinese Academy of Sciences, Beijing, China","Aerospace Information Research Institute, Chinese Academic of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Network Information System Technology, Institute of Electronic, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academic of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0113,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.84372932,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"13"},"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":0.9876999855041504,"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/T12644","display_name":"Wildlife-Road Interactions and Conservation","score":0.9703999757766724,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.7115333080291748},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49295973777770996},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46911221742630005},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.45962440967559814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4533008337020874},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43439802527427673},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.383350670337677},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.33206140995025635},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2636869549751282},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.2610057592391968},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.08088129758834839}],"concepts":[{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.7115333080291748},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49295973777770996},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46911221742630005},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.45962440967559814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4533008337020874},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43439802527427673},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.383350670337677},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.33206140995025635},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2636869549751282},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.2610057592391968},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.08088129758834839},{"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.2023.3241679","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3241679","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":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G7399413182","display_name":null,"funder_award_id":"E03307020D","funder_id":"https://openalex.org/F4320335892","funder_display_name":"Youth Innovation Promotion Association"}],"funders":[{"id":"https://openalex.org/F4320335892","display_name":"Youth Innovation Promotion Association","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W73112891","https://openalex.org/W1986300024","https://openalex.org/W2015785930","https://openalex.org/W2031922215","https://openalex.org/W2102048636","https://openalex.org/W2108598243","https://openalex.org/W2164816590","https://openalex.org/W2194775991","https://openalex.org/W2304676573","https://openalex.org/W2559085405","https://openalex.org/W2560719700","https://openalex.org/W2735039185","https://openalex.org/W2765854028","https://openalex.org/W2780861787","https://openalex.org/W2798925380","https://openalex.org/W2804199516","https://openalex.org/W2893801697","https://openalex.org/W2943898693","https://openalex.org/W2963270775","https://openalex.org/W2964255128","https://openalex.org/W2986885871","https://openalex.org/W3105636206","https://openalex.org/W3119784490","https://openalex.org/W3121619677","https://openalex.org/W3134470060","https://openalex.org/W3150573203","https://openalex.org/W3165336848","https://openalex.org/W3190518009","https://openalex.org/W3191171656","https://openalex.org/W3200935312","https://openalex.org/W3203699578","https://openalex.org/W3203828160","https://openalex.org/W3205353862","https://openalex.org/W3207503006","https://openalex.org/W3207536936","https://openalex.org/W4205921125","https://openalex.org/W4205924510","https://openalex.org/W4210651740","https://openalex.org/W4213058019","https://openalex.org/W4213359283","https://openalex.org/W4220717988","https://openalex.org/W4220797594","https://openalex.org/W4221145217","https://openalex.org/W4226178801","https://openalex.org/W4281610284","https://openalex.org/W4285197531","https://openalex.org/W4285229649","https://openalex.org/W4286491042","https://openalex.org/W4288735510","https://openalex.org/W4290945270","https://openalex.org/W4293215018"],"related_works":["https://openalex.org/W2504004674","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W1595229445","https://openalex.org/W2498744856","https://openalex.org/W4390482104","https://openalex.org/W322408318","https://openalex.org/W149041114","https://openalex.org/W2963177394","https://openalex.org/W1965815883"],"abstract_inverted_index":{"Road":[0],"topology":[1,34],"extraction":[2,41],"from":[3,55,139],"satellite":[4],"images,":[5],"which":[6],"has":[7],"long":[8],"been":[9],"of":[10,22,27,32,80,86,103,168],"interest,":[11],"is":[12,25,120],"an":[13,71],"essential":[14],"task":[15],"in":[16,166],"remote":[17],"sensing.":[18],"The":[19,157],"graph":[20,73],"representation":[21],"road":[23,33,40,65,81,95,108],"networks":[24,54],"one":[26],"the":[28,78,84,94,112,125,133,140,152],"most":[29],"challenging":[30],"aspects":[31],"extraction.":[35],"Most":[36],"existing":[37],"approaches":[38],"cast":[39],"as":[42,50],"binary":[43],"segmentation":[44,149],"and":[45,83,110,127,132,154,171,174],"then":[46],"use":[47],"postprocessing,":[48],"such":[49],"skeletonization,":[51],"to":[52,92,123],"infer":[53],"pixelwise":[56],"prediction.":[57],"In":[58],"our":[59,145,161],"work,":[60],"we":[61,97],"believe":[62],"that":[63,160],"a":[64,100,107],"network":[66,109,119],"can":[67],"be":[68],"represented":[69],"by":[70],"undirected":[72],"denoted":[74],"as$G":[75],"=$($V$,$E$),":[76],"where$V$and$E$represent":[77],"set":[79,85],"nodes":[82,105,126,136],"edges":[87,134],"between":[88,114,135],"nodes,":[89,131],"respectively.":[90],"Thus,":[91],"construct":[93],"topology,":[96],"propose":[98],"NodeConnect,":[99],"new":[101],"method":[102],"extracting":[104],"for":[106,130],"inferring":[111],"connectivity":[113,128,141],"nodes.":[115],"A":[116],"convolutional":[117],"neural":[118],"jointly":[121],"trained":[122],"predict":[124],"map":[129],"are":[137],"inferred":[138],"map.":[142],"We":[143],"compare":[144],"approach":[146,162],"with":[147],"several":[148],"methods":[150],"on":[151],"DeepGlobe":[153],"RoadTracer":[155],"datasets.":[156],"experiments":[158],"show":[159],"achieves":[163],"state-of-the-art":[164],"performance":[165],"terms":[167],"pixel-based":[169],"metrics":[170],"topological":[172],"precision":[173],"recall.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}