{"id":"https://openalex.org/W7083295785","doi":"https://doi.org/10.1109/jstars.2025.3614661","title":"FAMNet: Lightweight Road Extraction Network With Fused Attention and Multilevel Cascaded ASPP","display_name":"FAMNet: Lightweight Road Extraction Network With Fused Attention and Multilevel Cascaded ASPP","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W7083295785","doi":"https://doi.org/10.1109/jstars.2025.3614661"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2025.3614661","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3614661","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2025.3614661","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yunfei Zhang","orcid":"https://orcid.org/0000-0002-0227-4940"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunfei Zhang","raw_affiliation_strings":["Department of Remote Sensing and Geographic Information, School of Aeronautical Engineering, Changsha University of Science & Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0227-4940","affiliations":[{"raw_affiliation_string":"Department of Remote Sensing and Geographic Information, School of Aeronautical Engineering, Changsha University of Science & Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Naisi Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Naisi Sun","raw_affiliation_strings":["National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment (Changsha), Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment (Changsha), Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Liangyu Chen","orcid":"https://orcid.org/0000-0001-6556-1069"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangyu Chen","raw_affiliation_strings":["Department of Remote Sensing and Geographic Information, School of Aeronautical Engineering, Changsha University of Science & Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-6556-1069","affiliations":[{"raw_affiliation_string":"Department of Remote Sensing and Geographic Information, School of Aeronautical Engineering, Changsha University of Science & Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Li Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Liu","raw_affiliation_strings":["National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment (Changsha), Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment (Changsha), Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"last","author":{"id":null,"display_name":"Hongjie Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjie Zhu","raw_affiliation_strings":["National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment (Changsha), Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment (Changsha), Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":1.7588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.91004255,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"18","issue":null,"first_page":"25616","last_page":"25629"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.6640999913215637,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.6640999913215637,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13067","display_name":"Geological Modeling and Analysis","score":0.031099999323487282,"subfield":{"id":"https://openalex.org/subfields/1906","display_name":"Geochemistry and Petrology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14311","display_name":"Electrical and Electromagnetic Research","score":0.01899999938905239,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.5090000033378601},{"id":"https://openalex.org/keywords/computational-resource","display_name":"Computational resource","score":0.4699999988079071},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4498000144958496},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.435699999332428},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.4007999897003174},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.382999986410141},{"id":"https://openalex.org/keywords/road-surface","display_name":"Road surface","score":0.36410000920295715},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.36250001192092896},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.3474999964237213}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7727000117301941},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.5090000033378601},{"id":"https://openalex.org/C127964446","wikidata":"https://www.wikidata.org/wiki/Q1092142","display_name":"Computational resource","level":3,"score":0.4699999988079071},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4498000144958496},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.435699999332428},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4007999897003174},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.382999986410141},{"id":"https://openalex.org/C2780042925","wikidata":"https://www.wikidata.org/wiki/Q1049667","display_name":"Road surface","level":2,"score":0.36410000920295715},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3635999858379364},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.36250001192092896},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3474999964237213},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.3467000126838684},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.3443000018596649},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.33469998836517334},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3327000141143799},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3237999975681305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32350000739097595},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.3156000077724457},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.30300000309944153},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.3025999963283539},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.3021000027656555},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.2913999855518341},{"id":"https://openalex.org/C191015642","wikidata":"https://www.wikidata.org/wiki/Q1132459","display_name":"Fragmentation (computing)","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.2750999927520752},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2583000063896179},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25619998574256897},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.25609999895095825},{"id":"https://openalex.org/C2776104089","wikidata":"https://www.wikidata.org/wiki/Q15894079","display_name":"Location awareness","level":2,"score":0.25519999861717224},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.25369998812675476}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2025.3614661","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3614661","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fb711ed5197c4526846ca954299998c2","is_oa":true,"landing_page_url":"https://doaj.org/article/fb711ed5197c4526846ca954299998c2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 25616-25629 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3614661","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3614661","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3302043883","display_name":null,"funder_award_id":"41971421","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8409945285","display_name":null,"funder_award_id":"42371474","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Precision":[0],"road":[1,31,44,66,116,172],"extraction":[2,67,110],"via":[3],"remote":[4],"imagery":[5],"plays":[6],"a":[7,57,76,99,119],"vital":[8],"role":[9],"in":[10,42,68,164,177],"smart":[11],"transportation":[12],"and":[13,38,89,112,126,140,146,154,168,180,195],"urban":[14],"digitalization.":[15],"Current":[16],"deep":[17],"learning":[18],"methods,":[19],"however,":[20],"confront":[21],"three":[22],"key":[23],"limitations:":[24],"high":[25],"computational":[26,87,181],"complexity":[27],"from":[28],"intricate":[29],"architectures,":[30],"fragmentation":[32],"caused":[33],"by":[34],"weak":[35],"topological":[36,73],"continuity,":[37],"environmental":[39,144],"interference-induced":[40],"errors":[41],"thin":[43],"detection.":[45],"To":[46],"address":[47],"the":[48,82,133,166,184],"aforementioned":[49],"challenges,":[50],"this":[51],"paper":[52],"proposes":[53],"FAMNet,":[54],"which":[55],"establishes":[56],"collaborative":[58],"edge":[59],"surface":[60],"perception":[61,201],"mechanism":[62],"to":[63,85,104,131],"achieve":[64],"high-precision":[65],"complex":[69],"scenarios":[70],"while":[71,108,174],"maintaining":[72,175],"continuity.":[74],"Firstly,":[75],"lightweight":[77],"MobileNetv3":[78],"is":[79,129],"redesigned":[80],"as":[81],"backbone":[83],"network":[84],"reduce":[86],"overhead":[88],"model":[90],"complexity.":[91],"Then,":[92],"we":[93],"develop":[94],"an":[95],"MCASPP":[96],"combined":[97],"with":[98],"Convolutional":[100],"Block":[101],"Attention":[102],"Module":[103],"expand":[105],"receptive":[106],"fields":[107],"enhancing":[109],"capability":[111],"connectivity":[113],"for":[114,152,190],"slender":[115],"features.":[117],"Thirdly,":[118],"composite":[120],"loss":[121,125,128],"function":[122],"combining":[123],"Focal":[124],"Dice":[127],"implemented":[130],"mitigate":[132],"impact":[134],"of":[135,171],"class":[136],"imbalance":[137],"between":[138],"roads":[139],"background":[141],"samples,":[142],"suppress":[143],"interference,":[145],"emphasize":[147],"road-specific":[148],"information.":[149],"Experimental":[150],"results":[151],"DeepGlobe":[153],"CHN6-CUG":[155],"datasets":[156],"demonstrate":[157],"that":[158],"FAMNet":[159],"significantly":[160],"outperforms":[161],"state-of-the-art":[162],"methods":[163],"both":[165],"accuracy":[167],"structural":[169],"completeness":[170],"extraction,":[173],"advantages":[176],"parameter":[178],"count":[179],"efficiency.":[182],"Furthermore,":[183],"proposed":[185],"method":[186],"shows":[187],"promising":[188],"potential":[189],"advancing":[191],"natural":[192],"resource":[193],"surveying":[194],"monitoring":[196],"through":[197],"enhanced":[198],"geospatial":[199],"environment":[200],"modeling":[202],"capabilities.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}