{"id":"https://openalex.org/W4399378034","doi":"https://doi.org/10.1109/lgrs.2024.3409758","title":"CFRNet: Road Extraction in Remote Sensing Images Based on Cascade Fusion Network","display_name":"CFRNet: Road Extraction in Remote Sensing Images Based on Cascade Fusion Network","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399378034","doi":"https://doi.org/10.1109/lgrs.2024.3409758"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2024.3409758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3409758","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/A5032654818","display_name":"Youqiang Xiong","orcid":"https://orcid.org/0009-0003-7783-1259"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Youqiang Xiong","raw_affiliation_strings":["School of Automation, Beijing Information Science and Technology University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-7783-1259","affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386304","display_name":"Lu Li","orcid":"https://orcid.org/0000-0001-9823-0565"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Li","raw_affiliation_strings":["School of Automation, Beijing Information Science and Technology University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9823-0565","affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019455734","display_name":"Di Yuan","orcid":"https://orcid.org/0000-0001-9403-1112"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Yuan","raw_affiliation_strings":["Guangzhou Institute of Technology, Xidian University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9403-1112","affiliations":[{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082088728","display_name":"Haoqi Wang","orcid":"https://orcid.org/0009-0006-5792-2710"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoqi Wang","raw_affiliation_strings":["School of Automation, Beijing Information Science and Technology University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0006-5792-2710","affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056089960","display_name":"Tianliang Ma","orcid":"https://orcid.org/0009-0009-5350-0221"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianliang Ma","raw_affiliation_strings":["School of Automation, Beijing Information Science and Technology University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013077766","display_name":"Z. Wang","orcid":"https://orcid.org/0009-0006-2253-4005"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongqi Wang","raw_affiliation_strings":["School of Automation, Beijing Information Science and Technology University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100951989","display_name":"Yuping Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuping Yang","raw_affiliation_strings":["School of Automation, Beijing Information Science and Technology University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5032654818"],"corresponding_institution_ids":["https://openalex.org/I78675632"],"apc_list":null,"apc_paid":null,"fwci":5.1399,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.95824539,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"21","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":0.9965000152587891,"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":0.9965000152587891,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9678999781608582,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9391999840736389,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.757575511932373},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6422266960144043},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5427420735359192},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.510529637336731},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5033912062644958},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4844491481781006},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4674787223339081},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46647247672080994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45948633551597595},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4549609422683716},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13635271787643433},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12529462575912476},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11580070853233337}],"concepts":[{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.757575511932373},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6422266960144043},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5427420735359192},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.510529637336731},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5033912062644958},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4844491481781006},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4674787223339081},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46647247672080994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45948633551597595},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4549609422683716},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13635271787643433},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12529462575912476},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11580070853233337},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2024.3409758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3409758","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4506888280","display_name":null,"funder_award_id":"62202362","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2735039185","https://openalex.org/W2774320778","https://openalex.org/W2804199516","https://openalex.org/W2893801697","https://openalex.org/W2963163009","https://openalex.org/W2966108228","https://openalex.org/W2991089415","https://openalex.org/W3098181075","https://openalex.org/W3105636206","https://openalex.org/W3121619677","https://openalex.org/W3137572916","https://openalex.org/W3159533239","https://openalex.org/W3160976452","https://openalex.org/W4213058019","https://openalex.org/W4280488539","https://openalex.org/W4366493059","https://openalex.org/W4385245566","https://openalex.org/W4386025770","https://openalex.org/W4387197175","https://openalex.org/W4387682131","https://openalex.org/W4388642309","https://openalex.org/W6771062828","https://openalex.org/W6797399245"],"related_works":["https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3214791684","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2095903272","https://openalex.org/W2353265673"],"abstract_inverted_index":{"Road":[0,161,165,194],"extraction":[1,60,82,111],"from":[2],"remote":[3,37,63],"sensing":[4,38,64],"images":[5,39,65],"has":[6],"attracted":[7],"widespread":[8],"attention":[9],"of":[10,20,72,84,135,175],"researchers":[11],"due":[12],"to":[13,91],"its":[14],"crucial":[15],"role":[16],"in":[17,36,62,138],"the":[18,29,34,69,80,85,136,139,147,156,182,192],"fields":[19],"autopilot,":[21],"urban":[22],"planning,":[23],"navigation,":[24],"and":[25,49,93,112,128,163,185],"other":[26,152],"fields.":[27],"However,":[28],"task":[30],"becomes":[31],"challenging":[32],"as":[33,46,79],"roads":[35],"are":[40],"easily":[41],"occluded":[42],"by":[43],"obstacles":[44],"such":[45],"shadows,":[47],"buildings":[48],"trees.":[50],"In":[51],"this":[52],"letter,":[53],"a":[54,107,113,178,188],"cascade":[55,102],"fusion":[56,117],"network":[57],"for":[58,109,120],"road":[59],"(CFRNet)":[61],"is":[66,77,198],"proposed.":[67],"Considering":[68],"lightweight":[70],"characteristics":[71],"MobileNet":[73],"block":[74],"(MbBlock),":[75],"it":[76,168],"used":[78],"feature":[81,110,116,121],"module":[83,119],"backbone":[86],"network.":[87],"To":[88],"enable":[89],"CFRNet":[90,149],"generate":[92],"fuse":[94,130],"more":[95,126],"features":[96,132],"at":[97,200],"multiscale,":[98],"we":[99],"design":[100],"several":[101],"stages.":[103],"Each":[104],"stage":[105],"includes":[106],"sub-backbone":[108],"triple-level":[114],"adaptive":[115],"(TAFF)":[118],"fusion.":[122],"This":[123],"structure":[124],"can":[125],"deeply":[127],"effectively":[129],"multiscale":[131],"with":[133,187],"most":[134],"parameters":[137],"entire":[140],"backbone.":[141],"The":[142],"experimental":[143],"results":[144],"demonstrate":[145],"that":[146],"proposed":[148],"significantly":[150],"outperforms":[151],"state-of-the-art":[153],"methods":[154],"on":[155,181,191],"publicly":[157],"available":[158,199],"Istanbul":[159,183],"City":[160],"dataset":[162],"DeepGlobe":[164,193],"dataset.":[166,195],"Specifically,":[167],"achieves":[169],"an":[170],"intersection":[171],"over":[172],"union":[173],"(IoU)":[174],"89.76%,":[176],"reflecting":[177],"5.3%":[179],"improvement":[180],"dataset,":[184],"67.22%":[186],"0.98%":[189],"enhancement":[190],"Our":[196],"code":[197],"<uri":[201],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[202],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/XYQ1517/CFRNet</uri>.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}