{"id":"https://openalex.org/W2088812222","doi":"https://doi.org/10.1109/lgrs.2015.2479681","title":"A Novel Airport Detection Method via Line Segment Classification and Texture Classification","display_name":"A Novel Airport Detection Method via Line Segment Classification and Texture Classification","publication_year":2015,"publication_date":"2015-10-09","ids":{"openalex":"https://openalex.org/W2088812222","doi":"https://doi.org/10.1109/lgrs.2015.2479681","mag":"2088812222"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2015.2479681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2015.2479681","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/A5061116120","display_name":"Gefu Tang","orcid":null},"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"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gefu Tang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","[State Key Lab. of Inf. Eng. in Surveying, Wuhan Univ., Wuhan, China]"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]},{"raw_affiliation_string":"[State Key Lab. of Inf. Eng. in Surveying, Wuhan Univ., Wuhan, China]","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015087962","display_name":"Zhifeng Xiao","orcid":"https://orcid.org/0000-0002-8239-2268"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"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":"Zhifeng Xiao","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","[State Key Lab. of Inf. Eng. in Surveying, Wuhan Univ., Wuhan, China]"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]},{"raw_affiliation_string":"[State Key Lab. of Inf. Eng. in Surveying, Wuhan Univ., Wuhan, China]","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680699","display_name":"Qing Liu","orcid":"https://orcid.org/0000-0002-2173-6733"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"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":"Qing Liu","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","[State Key Lab. of Inf. Eng. in Surveying, Wuhan Univ., Wuhan, China]"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]},{"raw_affiliation_string":"[State Key Lab. of Inf. Eng. in Surveying, Wuhan Univ., Wuhan, China]","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002396290","display_name":"Hua Liu","orcid":"https://orcid.org/0000-0002-0301-4649"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Liu","raw_affiliation_strings":["School of Urban Design, Wuhan University, Wuhan, China","School of Urban Design Wuhan University Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Urban Design, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Urban Design Wuhan University Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5061116120"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"],"apc_list":null,"apc_paid":null,"fwci":3.0352,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.89984723,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"12","issue":"12","first_page":"2408","last_page":"2412"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9997000098228455,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9994000196456909,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9959999918937683,"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/runway","display_name":"Runway","score":0.865814208984375},{"id":"https://openalex.org/keywords/line-segment","display_name":"Line segment","score":0.7808898687362671},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7140408754348755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6331498026847839},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.6042839884757996},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5959774255752563},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5417770147323608},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5393040776252747},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5210061073303223},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46855053305625916},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4644577205181122},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4555777609348297},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4542232155799866},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.4268208146095276},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.3789597153663635},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2169327437877655},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12964874505996704},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08425784111022949}],"concepts":[{"id":"https://openalex.org/C81155309","wikidata":"https://www.wikidata.org/wiki/Q184590","display_name":"Runway","level":2,"score":0.865814208984375},{"id":"https://openalex.org/C182124507","wikidata":"https://www.wikidata.org/wiki/Q166154","display_name":"Line segment","level":2,"score":0.7808898687362671},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7140408754348755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6331498026847839},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.6042839884757996},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5959774255752563},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5417770147323608},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5393040776252747},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5210061073303223},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46855053305625916},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4644577205181122},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4555777609348297},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4542232155799866},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.4268208146095276},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3789597153663635},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2169327437877655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12964874505996704},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08425784111022949},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/lgrs.2015.2479681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2015.2479681","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":[{"id":"https://metadata.un.org/sdg/10","score":0.5799999833106995,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2411839807","display_name":null,"funder_award_id":"2012CB719904","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3232656363","display_name":null,"funder_award_id":"41471324","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1869391892","https://openalex.org/W2013824973","https://openalex.org/W2026576527","https://openalex.org/W2027282554","https://openalex.org/W2040628990","https://openalex.org/W2044465660","https://openalex.org/W2051936565","https://openalex.org/W2068742603","https://openalex.org/W2075091779","https://openalex.org/W2114799605","https://openalex.org/W2118376687","https://openalex.org/W2150485561","https://openalex.org/W2153635508","https://openalex.org/W2155739188","https://openalex.org/W2156953558","https://openalex.org/W2538807083","https://openalex.org/W2544449066","https://openalex.org/W6639165917","https://openalex.org/W6682185373","https://openalex.org/W6682762085","https://openalex.org/W6728623438","https://openalex.org/W6729587874"],"related_works":["https://openalex.org/W2373284441","https://openalex.org/W1578981866","https://openalex.org/W2056834547","https://openalex.org/W2887100346","https://openalex.org/W4322506511","https://openalex.org/W2753632835","https://openalex.org/W4362495656","https://openalex.org/W617408315","https://openalex.org/W146542191","https://openalex.org/W2072464718"],"abstract_inverted_index":{"Airports":[0],"are":[1,69,83,90],"one":[2],"of":[3,13,61,80,110,120,123,138],"the":[4,31,52,59,66,78,86,97,107,111,121,134,139],"most":[5],"important":[6],"traffic":[7],"facilities;":[8],"thus,":[9],"airport":[10,28,102],"detection":[11],"is":[12,48,99,103,116],"great":[14],"significance":[15],"in":[16,55,118],"economic":[17],"and":[18,39,57,77,127,136],"military":[19],"construction.":[20],"This":[21,114],"letter":[22],"proposes":[23],"a":[24,43,72],"novel":[25],"method":[26,115],"for":[27],"detection,":[29],"with":[30],"entire":[32],"algorithm":[33],"based":[34],"on":[35],"line":[36,45,53,63,67,75,87,124,128],"segment":[37,46,125,129],"classification":[38,108],"texture":[40],"classification.":[41,130],"First,":[42],"fast":[44],"detector":[47],"applied":[49],"to":[50],"extract":[51],"segments":[54,68],"images":[56],"compute":[58],"features":[60,126],"these":[62],"segments.":[64],"Then,":[65],"discriminated":[70],"by":[71,105],"trained":[73],"runway":[74,93],"classifier,":[76],"regions":[79],"interest":[81],"(ROIs)":[82],"extracted":[84],"from":[85],"segments,":[88],"which":[89],"classified":[91],"as":[92],"lines.":[94],"Finally,":[95],"whether":[96],"ROI":[98],"actually":[100],"an":[101],"determined":[104],"analyzing":[106],"results":[109,132],"image":[112],"blocks.":[113],"unique":[117],"terms":[119],"computing":[122],"Experimental":[131],"demonstrate":[133],"effectiveness":[135],"robustness":[137],"proposed":[140],"method.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":7}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
