{"id":"https://openalex.org/W4285183021","doi":"https://doi.org/10.1109/tgrs.2022.3172227","title":"Local Road Area Extraction in CSAR Imagery Exploiting Improved Curvilinear Structure Detector","display_name":"Local Road Area Extraction in CSAR Imagery Exploiting Improved Curvilinear Structure Detector","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285183021","doi":"https://doi.org/10.1109/tgrs.2022.3172227"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3172227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3172227","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/A5031344951","display_name":"Yuxiao Luo","orcid":"https://orcid.org/0000-0002-3444-1336"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuxiao Luo","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090713451","display_name":"Daoxiang An","orcid":"https://orcid.org/0000-0002-1363-9140"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daoxiang An","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100413347","display_name":"Wu Wang","orcid":"https://orcid.org/0000-0002-7606-695X"},"institutions":[{"id":"https://openalex.org/I2802505932","display_name":"China Aerodynamics Research and Development Center","ror":"https://ror.org/00jma8s40","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2802505932"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Wang","raw_affiliation_strings":["High Speed Aerodynamics Institute of China Aerodynamics Research and Development Center, Mianyang, China"],"affiliations":[{"raw_affiliation_string":"High Speed Aerodynamics Institute of China Aerodynamics Research and Development Center, Mianyang, China","institution_ids":["https://openalex.org/I2802505932"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057963200","display_name":"Leping Chen","orcid":"https://orcid.org/0000-0002-2742-0326"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leping Chen","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109537174","display_name":"Xiaotao Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaotao Huang","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5031344951"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.878,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.70403221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":1.0,"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":1.0,"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":0.9944999814033508,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9934999942779541,"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/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7701693177223206},{"id":"https://openalex.org/keywords/curvilinear-coordinates","display_name":"Curvilinear coordinates","score":0.754551112651825},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7193992137908936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6867798566818237},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6774269342422485},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4748016893863678},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4710923135280609},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3567282557487488},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3411206603050232},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.222416490316391},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1155233383178711},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07444941997528076}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7701693177223206},{"id":"https://openalex.org/C98343798","wikidata":"https://www.wikidata.org/wiki/Q1790208","display_name":"Curvilinear coordinates","level":2,"score":0.754551112651825},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7193992137908936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6867798566818237},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6774269342422485},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4748016893863678},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4710923135280609},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3567282557487488},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3411206603050232},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.222416490316391},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1155233383178711},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07444941997528076},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3172227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3172227","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7799999713897705,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G5675985658","display_name":null,"funder_award_id":"62101562","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":65,"referenced_works":["https://openalex.org/W22745672","https://openalex.org/W1545791100","https://openalex.org/W1972570807","https://openalex.org/W1987369860","https://openalex.org/W1995376165","https://openalex.org/W2002389490","https://openalex.org/W2015785930","https://openalex.org/W2019677198","https://openalex.org/W2029377763","https://openalex.org/W2036004749","https://openalex.org/W2038847702","https://openalex.org/W2044154283","https://openalex.org/W2063463621","https://openalex.org/W2076063813","https://openalex.org/W2079299474","https://openalex.org/W2084215127","https://openalex.org/W2089970463","https://openalex.org/W2105685332","https://openalex.org/W2105833816","https://openalex.org/W2109037308","https://openalex.org/W2109660855","https://openalex.org/W2125491192","https://openalex.org/W2125517865","https://openalex.org/W2129534965","https://openalex.org/W2141188882","https://openalex.org/W2142572935","https://openalex.org/W2144494233","https://openalex.org/W2144572173","https://openalex.org/W2145023731","https://openalex.org/W2151614069","https://openalex.org/W2156155065","https://openalex.org/W2157115443","https://openalex.org/W2166350183","https://openalex.org/W2170636277","https://openalex.org/W2334170987","https://openalex.org/W2353177721","https://openalex.org/W2379089757","https://openalex.org/W2412588858","https://openalex.org/W2574739416","https://openalex.org/W2590120901","https://openalex.org/W2593886839","https://openalex.org/W2604386548","https://openalex.org/W2620760558","https://openalex.org/W2747930423","https://openalex.org/W2760122612","https://openalex.org/W2779850592","https://openalex.org/W2786492053","https://openalex.org/W2802704010","https://openalex.org/W2914444914","https://openalex.org/W2914463524","https://openalex.org/W2919115771","https://openalex.org/W2923594733","https://openalex.org/W2941129515","https://openalex.org/W2944984175","https://openalex.org/W2945957599","https://openalex.org/W2950929782","https://openalex.org/W2953079113","https://openalex.org/W2964180124","https://openalex.org/W2966505783","https://openalex.org/W2980080875","https://openalex.org/W3012138171","https://openalex.org/W3024167159","https://openalex.org/W3025884272","https://openalex.org/W3027989684","https://openalex.org/W3204011929"],"related_works":["https://openalex.org/W1639593894","https://openalex.org/W63200814","https://openalex.org/W2367601375","https://openalex.org/W2371750680","https://openalex.org/W2360227361","https://openalex.org/W2067779234","https://openalex.org/W1999171692","https://openalex.org/W1600077717","https://openalex.org/W2017712750","https://openalex.org/W4252699458"],"abstract_inverted_index":{"Road":[0],"extraction":[1,101,157],"is":[2,73,105],"an":[3,93],"important":[4],"part":[5],"of":[6,29,38,51,59,75,116,122,159],"synthetic":[7],"aperture":[8],"radar":[9],"(SAR)":[10],"image":[11,86,119],"interpretation.":[12],"In":[13],"recent":[14],"years,":[15],"circular":[16],"SAR":[17],"(CSAR)":[18],"has":[19],"attracted":[20],"extensive":[21],"attention":[22],"from":[23,84,102],"researchers":[24],"owing":[25],"to":[26,33,152],"its":[27],"ability":[28],"360\u00b0":[30],"observation.":[31],"Due":[32],"the":[34,48,57,60,77,90,114,133,144,160,174,181],"unique":[35],"imaging":[36],"geometry":[37],"CSAR,":[39],"CSAR":[40,54,103,118,170],"images":[41,55,104,171],"contain":[42],"more":[43],"complete":[44],"road":[45,66,99,162],"information.":[46],"However,":[47],"curvilinear-structured":[49],"appearance":[50],"roads":[52,124,135],"in":[53,63,65,107],"and":[56,120,140,147,155],"complexity":[58],"scene":[61],"result":[62],"difficulties":[64],"extraction.":[67],"The":[68,164],"curvilinear":[69,78],"structure":[70],"detector":[71],"(CSD)":[72],"capable":[74],"extracting":[76],"structures":[79],"with":[80],"a":[81,117],"specific":[82],"width":[83],"complicated":[85],"scenes.":[87],"Based":[88],"on":[89,167],"traditional":[91],"CSD,":[92],"improved":[94],"CSD":[95],"(ICSD)":[96],"for":[97],"local":[98,123,134,161],"area":[100],"introduced":[106],"this":[108],"article.":[109],"First,":[110],"by":[111,138],"adopting":[112],"ICSD,":[113],"edges":[115],"centerlines":[121],"are":[125,136,150],"extracted,":[126],"as":[127,129],"well":[128],"their":[130],"direction.":[131],"Second,":[132],"obtained":[137],"geometrical":[139],"radiometrical":[141],"rules.":[142],"Finally,":[143],"missing":[145],"intersections":[146],"edge":[148],"pixels":[149],"repaired":[151],"acquire":[153],"high-precision":[154],"high-quality":[156],"results":[158,166],"area.":[163],"experimental":[165],"different":[168],"band":[169],"reveal":[172],"that":[173],"proposed":[175],"method":[176],"exhibit":[177],"enhanced":[178],"performance":[179],"than":[180],"three":[182],"state-of-the-art":[183],"methods.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
