{"id":"https://openalex.org/W3129885841","doi":"https://doi.org/10.1109/igarss39084.2020.9324236","title":"A Modified D-Linknet with Transfer Learning for Road Extraction from High-Resolution Remote Sensing","display_name":"A Modified D-Linknet with Transfer Learning for Road Extraction from High-Resolution Remote Sensing","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3129885841","doi":"https://doi.org/10.1109/igarss39084.2020.9324236","mag":"3129885841"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9324236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-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/A5100415529","display_name":"Yanan Zhang","orcid":"https://orcid.org/0000-0003-2698-8355"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanan Zhang","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079862010","display_name":"Qiqi Zhu","orcid":"https://orcid.org/0000-0002-5339-0829"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiqi Zhu","raw_affiliation_strings":["Hubei Key Laboratory of Regional Development and Environmental Response, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Regional Development and Environmental Response, Wuhan, China","institution_ids":[]}]},{"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/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, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan, China","institution_ids":["https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063647157","display_name":"Qingfeng Guan","orcid":"https://orcid.org/0000-0002-7392-3709"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingfeng Guan","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100673818","display_name":"Liangpei Zhang","orcid":"https://orcid.org/0000-0001-6890-3650"},"institutions":[{"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, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan, China","institution_ids":["https://openalex.org/I4210118728"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070369693","display_name":"Deren Li","orcid":"https://orcid.org/0000-0002-7277-6356"},"institutions":[{"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":"Deren Li","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan, China","institution_ids":["https://openalex.org/I4210118728"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100415529"],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":null,"apc_paid":null,"fwci":0.5296,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.67944412,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1817","last_page":"1820"},"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":0.9984999895095825,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6184831857681274},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.5479767322540283},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5422149896621704},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5360247492790222},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5325554609298706},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.46146896481513977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27778512239456177},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17512205243110657}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6184831857681274},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.5479767322540283},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5422149896621704},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5360247492790222},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5325554609298706},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.46146896481513977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27778512239456177},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17512205243110657},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9324236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1645777991","display_name":null,"funder_award_id":"G1323519214","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G336782516","display_name":null,"funder_award_id":"2018010401011293","funder_id":"https://openalex.org/F4320326832","funder_display_name":"State Key Laboratory of Resources and Environmental Information System"},{"id":"https://openalex.org/G6674607238","display_name":null,"funder_award_id":"41901306","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/F4320326832","display_name":"State Key Laboratory of Resources and Environmental Information System","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1836465849","https://openalex.org/W1837697898","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2735039185","https://openalex.org/W2804199516","https://openalex.org/W2893801697","https://openalex.org/W2915971115","https://openalex.org/W2949117887","https://openalex.org/W2963840672","https://openalex.org/W2964121744","https://openalex.org/W2982012700","https://openalex.org/W2982628450","https://openalex.org/W3034733338","https://openalex.org/W3105636206","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6696085341","https://openalex.org/W6770995436"],"related_works":["https://openalex.org/W3201126466","https://openalex.org/W2121524756","https://openalex.org/W4282827391","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/W1987967678"],"abstract_inverted_index":{"Road":[0],"extraction,":[1],"which":[2,90],"aims":[3],"to":[4,38,131],"label":[5],"remote":[6,19],"images":[7],"with":[8,98],"a":[9,14,76,85],"specific":[10],"road":[11,41,87,109,125],"detection,":[12],"is":[13,34,104,127],"fundamental":[15],"task":[16],"for":[17,29,53,62,108],"understanding":[18],"sensing":[20],"imagery.":[21],"Deep":[22],"learning":[23,27],"has":[24],"strong":[25],"characteristic":[26],"ability,":[28],"example,":[30],"the":[31,40,51,66,92,115,123,142,147],"state-of-the-art":[32,148],"D-Linknet":[33,99],"an":[35],"effective":[36,105],"way":[37],"capture":[39],"information.":[42],"However,":[43],"existing":[44],"regularization":[45],"methods":[46,149],"either":[47],"do":[48],"not":[49],"match":[50],"performance":[52,61],"large":[54],"batches,":[55],"or":[56],"still":[57],"exhibit":[58],"degradation":[59],"in":[60,68,151],"smaller":[63],"batches.":[64],"Besides,":[65],"roads":[67],"different":[69],"areas":[70],"have":[71],"various":[72],"characteristics":[73],"and":[74,106,112,129,153],"lack":[75],"good":[77],"transfer.":[78,134],"To":[79],"remedy":[80],"these":[81],"issues,":[82],"we":[83],"proposed":[84,143],"novel":[86],"extraction":[88,110],"network":[89],"integrated":[91],"filter":[93],"response":[94],"normalization":[95],"(FRN)":[96],"layer":[97,103],"(FND-Linknet).":[100],"The":[101],"FRN":[102],"robust":[107],"task,":[111],"can":[113],"eliminate":[114],"dependency":[116],"on":[117,137],"other":[118],"batch":[119],"samples.":[120],"In":[121],"addition,":[122],"multisource":[124],"dataset":[126],"collected":[128],"annotated":[130],"improve":[132],"features":[133],"Experimental":[135],"results":[136],"three":[138],"datasets":[139],"verify":[140],"that":[141],"FND-Linknet":[144],"framework":[145],"outperforms":[146],"both":[150],"accuracy":[152],"connectivity.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}