{"id":"https://openalex.org/W4309460918","doi":"https://doi.org/10.3390/rs14225842","title":"Fast Line Segment Detection and Large Scene Airport Detection for PolSAR","display_name":"Fast Line Segment Detection and Large Scene Airport Detection for PolSAR","publication_year":2022,"publication_date":"2022-11-18","ids":{"openalex":"https://openalex.org/W4309460918","doi":"https://doi.org/10.3390/rs14225842"},"language":"en","primary_location":{"id":"doi:10.3390/rs14225842","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14225842","pdf_url":"https://www.mdpi.com/2072-4292/14/22/5842/pdf?version=1668758307","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/2072-4292/14/22/5842/pdf?version=1668758307","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040780569","display_name":"Daochang Wang","orcid":"https://orcid.org/0000-0001-5284-6663"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daochang Wang","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453144","display_name":"Qi Liu","orcid":"https://orcid.org/0000-0001-5378-6404"},"institutions":[{"id":"https://openalex.org/I4210092032","display_name":"China Institute of Water Resources and Hydropower Research","ror":"https://ror.org/00m4czf33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210092032"]},{"id":"https://openalex.org/I4210155611","display_name":"Ministry of Water Resources of the People's Republic of China","ror":"https://ror.org/04e698d63","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210155611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Liu","raw_affiliation_strings":["Research Center on Flood & Drought Disaster Reduction of the Ministry of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China"],"affiliations":[{"raw_affiliation_string":"Research Center on Flood & Drought Disaster Reduction of the Ministry of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China","institution_ids":["https://openalex.org/I4210092032","https://openalex.org/I4210155611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080264682","display_name":"Qiang Yin","orcid":"https://orcid.org/0000-0002-9541-8260"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Yin","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069637938","display_name":"Fei Ma","orcid":"https://orcid.org/0000-0003-4906-6142"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fei Ma","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China","institution_ids":["https://openalex.org/I75390827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069637938"],"corresponding_institution_ids":["https://openalex.org/I75390827"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":5.0988,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.95158361,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"14","issue":"22","first_page":"5842","last_page":"5842"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.9970999956130981,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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":0.7395695447921753},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.6127686500549316},{"id":"https://openalex.org/keywords/wishart-distribution","display_name":"Wishart distribution","score":0.4957035779953003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49222221970558167},{"id":"https://openalex.org/keywords/line-segment","display_name":"Line segment","score":0.48609185218811035},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.4695378541946411},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4680321514606476},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.45647484064102173},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.4541179835796356},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4410301446914673},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.43233722448349},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17301729321479797},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.10070833563804626}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7395695447921753},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.6127686500549316},{"id":"https://openalex.org/C33962027","wikidata":"https://www.wikidata.org/wiki/Q1930697","display_name":"Wishart distribution","level":3,"score":0.4957035779953003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49222221970558167},{"id":"https://openalex.org/C182124507","wikidata":"https://www.wikidata.org/wiki/Q166154","display_name":"Line segment","level":2,"score":0.48609185218811035},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.4695378541946411},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4680321514606476},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.45647484064102173},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.4541179835796356},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4410301446914673},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.43233722448349},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17301729321479797},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.10070833563804626},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14225842","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14225842","pdf_url":"https://www.mdpi.com/2072-4292/14/22/5842/pdf?version=1668758307","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:fa21ca28dce74e2ea0df02d29716617b","is_oa":true,"landing_page_url":"https://doaj.org/article/fa21ca28dce74e2ea0df02d29716617b","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 14, Iss 22, p 5842 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/22/5842/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14225842","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 14; Issue 22; Pages: 5842","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14225842","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14225842","pdf_url":"https://www.mdpi.com/2072-4292/14/22/5842/pdf?version=1668758307","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":[{"score":0.46000000834465027,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G3692317134","display_name":null,"funder_award_id":"62201027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4324959567","display_name":null,"funder_award_id":"62171016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4463963273","display_name":null,"funder_award_id":"XK2020-03","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6606257290","display_name":null,"funder_award_id":"61871413","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4309460918.pdf","grobid_xml":"https://content.openalex.org/works/W4309460918.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1413778154","https://openalex.org/W1504108853","https://openalex.org/W1982095312","https://openalex.org/W2008665443","https://openalex.org/W2021278996","https://openalex.org/W2071142568","https://openalex.org/W2079104254","https://openalex.org/W2085020657","https://openalex.org/W2088812222","https://openalex.org/W2095905764","https://openalex.org/W2101853874","https://openalex.org/W2120348742","https://openalex.org/W2120700540","https://openalex.org/W2121348175","https://openalex.org/W2141424348","https://openalex.org/W2145158371","https://openalex.org/W2160072137","https://openalex.org/W2307048845","https://openalex.org/W2320527540","https://openalex.org/W2519749422","https://openalex.org/W2616866739","https://openalex.org/W2744528520","https://openalex.org/W2752347180","https://openalex.org/W2791358581","https://openalex.org/W2791397797","https://openalex.org/W2800822850","https://openalex.org/W2811378687","https://openalex.org/W2913455019","https://openalex.org/W2922891743","https://openalex.org/W2981392080","https://openalex.org/W2984346297","https://openalex.org/W3003290123","https://openalex.org/W3012483050","https://openalex.org/W3022224028","https://openalex.org/W3094484482","https://openalex.org/W3158491882","https://openalex.org/W3158521717","https://openalex.org/W3177954245","https://openalex.org/W3200421546","https://openalex.org/W4205652744","https://openalex.org/W4220837851","https://openalex.org/W4226456028","https://openalex.org/W4313193709","https://openalex.org/W6774919560","https://openalex.org/W6797812364","https://openalex.org/W6801053922","https://openalex.org/W6806238342","https://openalex.org/W6809848596"],"related_works":["https://openalex.org/W2146312983","https://openalex.org/W2389605595","https://openalex.org/W1586339758","https://openalex.org/W2046861201","https://openalex.org/W3131856045","https://openalex.org/W1983393909","https://openalex.org/W2040150569","https://openalex.org/W2132174924","https://openalex.org/W1911540634","https://openalex.org/W2013909972"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,86,119],"propose":[4,87],"a":[5,88,138,154,167],"fast":[6],"Line":[7],"Segment":[8],"Detection":[9],"algorithm":[10,93,143,182],"for":[11,74],"Polarimetric":[12],"synthetic":[13],"aperture":[14],"radar":[15],"(PolSAR)":[16],"data":[17,198],"(PLSD).":[18],"We":[19],"introduce":[20],"the":[21,31,35,40,43,47,51,66,75,103,116,127,131,142,157,177,191],"Constant":[22],"False":[23],"Alarm":[24],"Rate":[25],"(CFAR)":[26],"edge":[27],"detector":[28],"to":[29,62,135,137],"obtain":[30],"gradient":[32,96,110,113,128],"map":[33],"of":[34,42,77,82,108,161,190],"PolSAR":[36,197],"image,":[37],"which":[38],"tests":[39],"equality":[41],"covariance":[44],"matrix":[45],"using":[46],"test":[48],"statistic":[49],"in":[50,145],"complex":[52],"Wishart":[53],"distribution.":[54],"A":[55],"new":[56,89],"filter":[57],"configuration":[58],"is":[59,72,164,173],"applied":[60],"here":[61],"save":[63],"time.":[64],"Then,":[65],"Statistical":[67,90],"Region":[68,91],"Merging":[69,92],"(SRM)":[70],"framework":[71],"utilized":[73],"generation":[76],"line-support":[78],"regions.":[79],"As":[80],"one":[81],"our":[83],"main":[84],"contributions,":[85],"based":[94,125,149,175],"on":[95,126,150,176],"Strength":[97],"and":[98,112,153,183,188],"Direction":[99],"(SRMSD).":[100],"It":[101],"determines":[102],"merging":[104,117],"predicate":[105],"with":[106,196],"consideration":[107],"both":[109],"strength":[111],"direction.":[114],"For":[115],"order,":[118],"set":[120],"it":[121],"by":[122,200],"bucket":[123],"sort":[124],"strength.":[129],"Furthermore,":[130],"pixels":[132],"are":[133,194],"restricted":[134],"belong":[136],"unique":[139],"region,":[140],"making":[141],"linear":[144],"time":[146],"cost.":[147],"Finally,":[148],"Markov":[151],"chains":[152],"contrario":[155],"approach,":[156],"false":[158],"alarm":[159],"control":[160],"line":[162,179],"segments":[163],"implemented.":[165],"Moreover,":[166],"large":[168],"scene":[169],"airport":[170],"detection":[171,181],"method":[172],"designed":[174],"proposed":[178],"segment":[180],"scattering":[184],"characteristics.":[185],"The":[186],"effectiveness":[187],"applicability":[189],"two":[192],"methods":[193],"demonstrated":[195],"provided":[199],"UAVSAR.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2022-11-28T00:00:00"}