{"id":"https://openalex.org/W4385347325","doi":"https://doi.org/10.3390/rs15153741","title":"DPSDA-Net: Dual-Path Convolutional Neural Network with Strip Dilated Attention Module for Road Extraction from High-Resolution Remote Sensing Images","display_name":"DPSDA-Net: Dual-Path Convolutional Neural Network with Strip Dilated Attention Module for Road Extraction from High-Resolution Remote Sensing Images","publication_year":2023,"publication_date":"2023-07-27","ids":{"openalex":"https://openalex.org/W4385347325","doi":"https://doi.org/10.3390/rs15153741"},"language":"en","primary_location":{"id":"doi:10.3390/rs15153741","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15153741","pdf_url":"https://www.mdpi.com/2072-4292/15/15/3741/pdf?version=1690446914","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/15/3741/pdf?version=1690446914","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101568817","display_name":"Like Zhao","orcid":"https://orcid.org/0000-0003-2799-1978"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Like Zhao","raw_affiliation_strings":["College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I36152291"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089972660","display_name":"Linfeng Ye","orcid":"https://orcid.org/0009-0009-2355-1773"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linfeng Ye","raw_affiliation_strings":["College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I36152291"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101652940","display_name":"Mi Zhang","orcid":"https://orcid.org/0000-0003-4949-979X"},"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":true,"raw_author_name":"Mi Zhang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430072, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014704952","display_name":"Jiang Huawei","orcid":null},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huawei Jiang","raw_affiliation_strings":["College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I36152291"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101908716","display_name":"Zhen Yang","orcid":"https://orcid.org/0000-0002-2347-2225"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Yang","raw_affiliation_strings":["College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I36152291"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102795181","display_name":"Mingwang Yang","orcid":"https://orcid.org/0009-0008-1598-3165"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingwang Yang","raw_affiliation_strings":["College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I36152291"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101652940"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.1406,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.86252719,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"15","issue":"15","first_page":"3741","last_page":"3741"},"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":0.9879000186920166,"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":0.9455000162124634,"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/computer-science","display_name":"Computer science","score":0.8132195472717285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6071669459342957},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.565514087677002},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5459737181663513},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5102741718292236},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.4865814447402954},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47384029626846313},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4602978825569153},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.43783900141716003},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.4333324432373047},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41700899600982666},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.34509408473968506},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34418314695358276},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.30100879073143005},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21229583024978638},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1099209189414978}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8132195472717285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6071669459342957},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.565514087677002},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5459737181663513},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5102741718292236},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.4865814447402954},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47384029626846313},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4602978825569153},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.43783900141716003},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.4333324432373047},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41700899600982666},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.34509408473968506},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34418314695358276},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30100879073143005},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21229583024978638},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1099209189414978},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15153741","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15153741","pdf_url":"https://www.mdpi.com/2072-4292/15/15/3741/pdf?version=1690446914","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c8956cf9731345b2b3b14a5482d7a3d0","is_oa":true,"landing_page_url":"https://doaj.org/article/c8956cf9731345b2b3b14a5482d7a3d0","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 15, p 3741 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/15/3741/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15153741","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 15; Issue 15; Pages: 3741","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15153741","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15153741","pdf_url":"https://www.mdpi.com/2072-4292/15/15/3741/pdf?version=1690446914","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.41999998688697815,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2610831151","display_name":null,"funder_award_id":"41901276","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2802911279","display_name":null,"funder_award_id":"Young","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5242359743","display_name":null,"funder_award_id":"41901265","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5760752404","display_name":null,"funder_award_id":"Projects","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8079825726","display_name":null,"funder_award_id":"32102320","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G808021819","display_name":null,"funder_award_id":"21420198","funder_id":"https://openalex.org/F4320321955","funder_display_name":"Henan University of Technology"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321955","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55"},{"id":"https://openalex.org/F4320322878","display_name":"Henan University","ror":"https://ror.org/003xyzq10"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385347325.pdf"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W2037187106","https://openalex.org/W2081294768","https://openalex.org/W2155806169","https://openalex.org/W2357655640","https://openalex.org/W2374502433","https://openalex.org/W2394404626","https://openalex.org/W2560719700","https://openalex.org/W2735039185","https://openalex.org/W2752782242","https://openalex.org/W2774320778","https://openalex.org/W2884585870","https://openalex.org/W2893801697","https://openalex.org/W2900680440","https://openalex.org/W2901082355","https://openalex.org/W2955058313","https://openalex.org/W2962978395","https://openalex.org/W2963881378","https://openalex.org/W2995969896","https://openalex.org/W2997342692","https://openalex.org/W3025400702","https://openalex.org/W3083219173","https://openalex.org/W3103263155","https://openalex.org/W3105636206","https://openalex.org/W3121619677","https://openalex.org/W3121754326","https://openalex.org/W3127423878","https://openalex.org/W3162672913","https://openalex.org/W3165336848","https://openalex.org/W3215506881","https://openalex.org/W4221145217","https://openalex.org/W6682602794","https://openalex.org/W6767258250","https://openalex.org/W6772399188","https://openalex.org/W6809448966","https://openalex.org/W7020680850"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W2607795551","https://openalex.org/W3155117723","https://openalex.org/W1991429770","https://openalex.org/W1983892167","https://openalex.org/W3149642877","https://openalex.org/W3215923428","https://openalex.org/W4328027016","https://openalex.org/W3161582628","https://openalex.org/W2999505782"],"abstract_inverted_index":{"Roads":[0],"extracted":[1],"from":[2,25],"high-resolution":[3,26],"remote":[4,27,267],"sensing":[5,28,268],"images":[6,29],"are":[7],"widely":[8],"used":[9],"in":[10,33,266],"many":[11],"fields,":[12],"such":[13],"as":[14,98],"autonomous":[15],"driving,":[16],"road":[17,23,176,204,226,255,264],"planning,":[18],"disaster":[19],"relief,":[20],"etc.":[21],"However,":[22],"extraction":[24,170,174,205,227,265],"has":[30],"certain":[31],"deficiencies":[32],"connectivity":[34,194,260],"and":[35,49,91,155,163,172,184,193,213,237,257,261],"completeness":[36],"due":[37],"to":[38,113,129,165,188],"obstruction":[39],"by":[40],"surrounding":[41],"ground":[42],"objects,":[43],"the":[44,50,83,115,131,136,140,144,161,167,180,189,198,201,210,214,229,245,259],"influence":[45],"of":[46,53,86,119,135,175,200,248,263],"similar":[47],"targets,":[48],"slender":[51],"structure":[52],"roads":[54,251],"themselves.":[55],"To":[56,196],"address":[57],"this":[58],"issue,":[59],"we":[60],"propose":[61],"a":[62,69,78,120,147,152,233],"novel":[63],"dual-path":[64],"convolutional":[65],"neural":[66],"network":[67,168],"with":[68,151,223],"strip":[70,92,103,153],"dilated":[71,89,149],"attention":[72,87,105,156,187],"module,":[73],"named":[74],"DPSDA-Net,":[75],"which":[76],"adopts":[77],"U-shaped":[79],"encoder\u2013decoder":[80],"structure,":[81],"combining":[82],"powerful":[84],"advantages":[85],"mechanism,":[88],"convolution,":[90],"convolution.":[93],"The":[94,217,239],"encoder":[95,162],"utilizes":[96],"ResNet50":[97],"its":[99],"basic":[100],"architecture.":[101],"A":[102,122],"position":[104],"mechanism":[106,157],"is":[107,127,158],"added":[108],"between":[109,160],"each":[110],"residual":[111],"block":[112],"strengthen":[114],"coherent":[116],"semantic":[117,192],"information":[118,133],"road.":[121],"long-distance":[123],"shortcut":[124],"connection":[125],"operation":[126],"introduced":[128],"preserve":[130],"spatial":[132,191],"characteristics":[134],"original":[137],"image":[138],"during":[139],"downsampling":[141],"process.":[142],"At":[143],"same":[145],"time,":[146],"pyramid":[148],"module":[150],"convolution":[154],"constructed":[159],"decoder":[164],"enhance":[166],"feature":[169,177],"ability":[171],"multi-scale":[173],"information,":[178],"expand":[179],"model\u2019s":[181],"receptive":[182],"field,":[183],"pay":[185],"more":[186,252],"global":[190],"information.":[195],"verify":[197],"reliability":[199],"proposed":[202,230],"model,":[203],"was":[206],"carried":[207],"out":[208],"on":[209],"Massachusetts":[211],"dataset":[212],"LRSNY":[215],"dataset.":[216],"experimental":[218],"results":[219],"show":[220],"that,":[221],"compared":[222],"other":[224],"typical":[225],"methods,":[228],"model":[231,241],"achieved":[232],"higher":[234],"F1":[235],"score":[236],"IOU.":[238],"DPSDA-Net":[240],"can":[242],"comprehensively":[243],"characterize":[244],"structural":[246],"features":[247],"roads,":[249],"extract":[250],"accurately,":[253],"retain":[254],"details,":[256],"improve":[258],"integrity":[262],"images.":[269]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
