{"id":"https://openalex.org/W4294982513","doi":"https://doi.org/10.1109/lgrs.2022.3204817","title":"Deep Learning-Based Road Extraction From Historical Maps","display_name":"Deep Learning-Based Road Extraction From Historical Maps","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4294982513","doi":"https://doi.org/10.1109/lgrs.2022.3204817"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3204817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3204817","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/A5048045971","display_name":"Cengiz Avci","orcid":"https://orcid.org/0000-0002-6515-1059"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Cengiz Avci","raw_affiliation_strings":["History Department, Ko&#x00E7; University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"History Department, Ko&#x00E7; University, Istanbul, Turkey","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041935848","display_name":"Elif Sertel","orcid":"https://orcid.org/0000-0003-4854-494X"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Elif Sertel","raw_affiliation_strings":["Department of Geomatics Engineering, Istanbul Technical University, Maslak, Sariyer, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Geomatics Engineering, Istanbul Technical University, Maslak, Sariyer, Turkey","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001084933","display_name":"M. Erdem Kabaday\u0131","orcid":"https://orcid.org/0000-0003-3206-0190"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mustafa Erdem Kabadayi","raw_affiliation_strings":["History Department, Ko&#x00E7; University, Istanbul, Turkey","School of Geographical and Earth Sciences, University of Glasgow, Glasgow, U.K"],"affiliations":[{"raw_affiliation_string":"History Department, Ko&#x00E7; University, Istanbul, Turkey","institution_ids":[]},{"raw_affiliation_string":"School of Geographical and Earth Sciences, University of Glasgow, Glasgow, U.K","institution_ids":["https://openalex.org/I7882870"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048045971"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.35,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.87458445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9580000042915344,"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/T12364","display_name":"Archaeological Research and Protection","score":0.9146000146865845,"subfield":{"id":"https://openalex.org/subfields/1912","display_name":"Space and Planetary 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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6562663912773132},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5616018176078796},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5560205578804016},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5063132047653198},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4972272217273712},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4770040810108185},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.463928759098053},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4448162913322449},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4427788555622101},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4116743505001068},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35616472363471985},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3491247892379761},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32349279522895813},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.21812760829925537},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18222534656524658},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10631734132766724}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6562663912773132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5616018176078796},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5560205578804016},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5063132047653198},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4972272217273712},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4770040810108185},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.463928759098053},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4448162913322449},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4427788555622101},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4116743505001068},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35616472363471985},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3491247892379761},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32349279522895813},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.21812760829925537},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18222534656524658},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10631734132766724},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/lgrs.2022.3204817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3204817","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"},{"id":"pmh:oai:cdm21054.contentdm.oclc.org:IR/10992","is_oa":false,"landing_page_url":"http://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/10992","pdf_url":null,"source":{"id":"https://openalex.org/S4306401341","display_name":"Digital Collections portal (Ko\u00e7 University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1351752","host_organization_name":"Ko\u00e7 University","host_organization_lineage":["https://openalex.org/I1351752"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"Journal article"},{"id":"pmh:oai:polen.itu.edu.tr:11527/35243","is_oa":false,"landing_page_url":"https://hdl.handle.net/11527/35243","pdf_url":null,"source":{"id":"https://openalex.org/S4306400460","display_name":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48912391","host_organization_name":"Istanbul Technical University","host_organization_lineage":["https://openalex.org/I48912391"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G3774414390","display_name":null,"funder_award_id":"679097","funder_id":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council"},{"id":"https://openalex.org/G5711275980","display_name":"Industrialisation and Urban Growth from the mid-nineteenth century Ottoman Empire to Contemporary Turkey in a Comparative Perspective, 1850-2000","funder_award_id":"679097","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8051717526","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8318064016","display_name":null,"funder_award_id":"Horizon","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320338335","display_name":"H2020 European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W73112891","https://openalex.org/W1987497606","https://openalex.org/W2098180043","https://openalex.org/W2138317821","https://openalex.org/W2565639579","https://openalex.org/W2593886839","https://openalex.org/W2774320778","https://openalex.org/W2890554434","https://openalex.org/W2963794428","https://openalex.org/W2986241268","https://openalex.org/W2991566686","https://openalex.org/W2998358022","https://openalex.org/W3021297918","https://openalex.org/W3038091703","https://openalex.org/W3088226460","https://openalex.org/W3098839753","https://openalex.org/W3112139896","https://openalex.org/W3157548398","https://openalex.org/W3183557592","https://openalex.org/W4225288408","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3192840557","https://openalex.org/W4375928479","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W3131673289","https://openalex.org/W4393011546","https://openalex.org/W3198847674"],"abstract_inverted_index":{"Automatic":[0],"road":[1,45,188],"extraction":[2,46,189],"from":[3,68],"historical":[4,22,44,70,177],"maps":[5,79,169],"is":[6],"an":[7],"important":[8],"task":[9],"to":[10,33],"understand":[11],"past":[12],"transportation":[13],"conditions":[14],"and":[15,24,39,80,99,117,119,122,136,151,170],"conduct":[16],"spatiotemporal":[17],"analysis":[18],"revealing":[19],"information":[20],"about":[21],"events":[23],"human":[25],"activities":[26],"over":[27],"the":[28,35,43,56,95,105,114,128,164],"years.":[29],"This":[30],"research":[31],"aimed":[32],"propose":[34],"ideal":[36],"architecture,":[37,138],"encoder,":[38],"hyperparameter":[40],"settings":[41],"for":[42,87,163,173],"task.":[47],"We":[48,92,102,126],"used":[49,97,162],"a":[50],"dataset":[51],"including":[52],"7076":[53],"patches":[54],"with":[55,113,131,139],"size":[57],"of":[58,107,145,166],"<inline-formula":[59],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[60],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[61],"<tex-math":[62],"notation=\"LaTeX\">$256":[63],"\\times256$":[64],"</tex-math></inline-formula>":[65],"pixels":[66],"generated":[67],"scanned":[69],"Deutsche":[71],"Heereskarte":[72],"1:200":[73],"000":[74],"T\u00fcrkei":[75],"(DHK":[76],"200":[77],"Turkey)":[78],"their":[81],"corresponding":[82],"digitized":[83],"ground":[84],"truth":[85],"masks":[86],"five":[88],"different":[89,176,187],"roads":[90],"types.":[91],"first":[93],"tested":[94],"widely":[96],"Unet++":[98,112,137],"Deeplabv3":[100],"architectures.":[101],"also":[103,183],"evaluated":[104],"contribution":[106],"attention":[108,124],"models":[109],"by":[110],"implementing":[111],"concurrent":[115],"spatial":[116],"channel-squeeze":[118],"excitation":[120],"block":[121],"multiscale":[123],"net.":[125],"achieved":[127],"best":[129],"results":[130],"split-attention":[132],"network":[133],"(Timm-resnest200e)":[134],"encoder":[135],"98.99%":[140],"overall":[141],"accuracy,":[142],"41.99%":[143],"intersection":[144],"union,":[146],"51.41%":[147],"precision,":[148],"69.7%":[149],"recall,":[150],"57.72%":[152],"F1":[153],"score":[154],"values.":[155],"Our":[156],"output":[157],"weights":[158],"could":[159,182],"be":[160,184],"directly":[161],"inference":[165],"other":[167],"DHK":[168],"transfer":[171],"learning":[172],"similar":[174],"or":[175],"maps.":[178],"The":[179],"proposed":[180],"architecture":[181],"implemented":[185],"in":[186],"studies.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2022-09-08T00:00:00"}