{"id":"https://openalex.org/W7123354714","doi":"https://doi.org/10.1109/tfuzz.2026.3650858","title":"FGM-MLSD: A Fuzzy Region Competition and Gaussian Mixture Segment Model via Modified Line Segment Detector Model for Airport Object Saliency Detection in Remote Sensing Images","display_name":"FGM-MLSD: A Fuzzy Region Competition and Gaussian Mixture Segment Model via Modified Line Segment Detector Model for Airport Object Saliency Detection in Remote Sensing Images","publication_year":2026,"publication_date":"2026-01-12","ids":{"openalex":"https://openalex.org/W7123354714","doi":"https://doi.org/10.1109/tfuzz.2026.3650858"},"language":null,"primary_location":{"id":"doi:10.1109/tfuzz.2026.3650858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2026.3650858","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"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 Fuzzy Systems","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/A5041576447","display_name":"Shoulin Yin","orcid":"https://orcid.org/0000-0002-5367-1372"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shoulin Yin","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-5367-1372","affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100636415","display_name":"Liguo Wang","orcid":"https://orcid.org/0000-0002-4842-1029"},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liguo Wang","raw_affiliation_strings":["College of Information and Communications Engineering, Dalian Minzu University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Communications Engineering, Dalian Minzu University, Dalian, China","institution_ids":["https://openalex.org/I61565387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077907139","display_name":"Asif Ali Laghari","orcid":"https://orcid.org/0000-0001-5831-5943"},"institutions":[{"id":"https://openalex.org/I32399674","display_name":"Shenyang Normal University","ror":"https://ror.org/05cdfgm80","country_code":"CN","type":"education","lineage":["https://openalex.org/I32399674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Asif Ali Laghari","raw_affiliation_strings":["Software College, Shenyang Normal University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0001-5831-5943","affiliations":[{"raw_affiliation_string":"Software College, Shenyang Normal University, Shenyang, China","institution_ids":["https://openalex.org/I32399674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113671777","display_name":"Lin Teng","orcid":null},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Teng","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122856519","display_name":"Gautam Srivastava","orcid":null},"institutions":[{"id":"https://openalex.org/I48890080","display_name":"Brandon University","ror":"https://ror.org/02qp25a50","country_code":"CA","type":"education","lineage":["https://openalex.org/I48890080"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Gautam Srivastava","raw_affiliation_strings":["Department of Math and Computer Science, Brandon University, Brandon, MB, Canada"],"raw_orcid":"https://orcid.org/0000-0001-9851-4103","affiliations":[{"raw_affiliation_string":"Department of Math and Computer Science, Brandon University, Brandon, MB, Canada","institution_ids":["https://openalex.org/I48890080"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045221683","display_name":"Ahmad Almadhor","orcid":"https://orcid.org/0000-0002-8665-1669"},"institutions":[{"id":"https://openalex.org/I199702508","display_name":"Jouf University","ror":"https://ror.org/02zsyt821","country_code":"SA","type":"education","lineage":["https://openalex.org/I199702508"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Ahmad Almadhor","raw_affiliation_strings":["Department of Computer Engineering and Networks, College of Computer and Information Sciences, Jouf University, Sakaka, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-8665-1669","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering and Networks, College of Computer and Information Sciences, Jouf University, Sakaka, Saudi Arabia","institution_ids":["https://openalex.org/I199702508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121194543","display_name":"Thippa Reddy Gadekallu","orcid":null},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Thippa Reddy Gadekallu","raw_affiliation_strings":["College of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0097-801X","affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou, China","institution_ids":["https://openalex.org/I1284762954"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05294917,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":"4","first_page":"1175","last_page":"1186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9125999808311462,"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"}},"topics":[{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9125999808311462,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.04560000076889992,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.01269999984651804,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6784999966621399},{"id":"https://openalex.org/keywords/line-segment","display_name":"Line segment","score":0.6348000168800354},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.6347000002861023},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.598800003528595},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.576200008392334},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5404000282287598},{"id":"https://openalex.org/keywords/saliency-map","display_name":"Saliency map","score":0.5278000235557556},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5048999786376953}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7103000283241272},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6870999932289124},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6784999966621399},{"id":"https://openalex.org/C182124507","wikidata":"https://www.wikidata.org/wiki/Q166154","display_name":"Line segment","level":2,"score":0.6348000168800354},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.6347000002861023},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6129999756813049},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.598800003528595},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.576200008392334},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5404000282287598},{"id":"https://openalex.org/C2779679900","wikidata":"https://www.wikidata.org/wiki/Q25304431","display_name":"Saliency map","level":3,"score":0.5278000235557556},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5048999786376953},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5044999718666077},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.46959999203681946},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.42669999599456787},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.421999990940094},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42179998755455017},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41130000352859497},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3865000009536743},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3822999894618988},{"id":"https://openalex.org/C21729346","wikidata":"https://www.wikidata.org/wiki/Q2444417","display_name":"Otsu's method","level":4,"score":0.3521000146865845},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.2879999876022339},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.2815000116825104},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.2621999979019165}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2026.3650858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2026.3650858","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"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 Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Nowadays,":[0],"object":[1,53],"saliency":[2,17,81,142,154,204],"detection":[3,18,82],"has":[4],"attracted":[5],"considerable":[6],"attention":[7],"due":[8],"to":[9,50,98,166],"the":[10,23,51,100,105,125,133,141,145,152,157,162,168,177,182,190,194,201],"vivid":[11],"description":[12],"of":[13,25,43,144,203],"images.":[14,86],"The":[15],"traditional":[16],"methods":[19],"are":[20,174],"faced":[21],"with":[22,156],"challenges":[24],"sparse":[26],"boundary,":[27],"fractured":[28],"contour":[29],"and":[30,40,66,103,130,176,187,198],"internal":[31],"non-uniform":[32],"density.":[33],"That":[34],"will":[35],"result":[36],"in":[37,83,193],"losing":[38],"texture":[39],"detailed":[41],"information":[42],"images,":[44],"which":[45,123],"makes":[46],"a":[47,58,67,73,94,111],"bad":[48],"contribution":[49],"subsequent":[52],"detection.":[54,205],"Therefore,":[55],"we":[56,88,138,150],"propose":[57],"new":[59],"approach":[60],"based":[61],"on":[62],"fuzzy":[63,90],"region":[64,91,192],"competition":[65],"Gaussian":[68,95],"mixture":[69,96],"segment":[70,76,99,114],"model":[71,97],"via":[72],"modified":[74,112],"line":[75,113,121,135],"detector":[77,115],"(FGM-MLSD)":[78],"for":[79,119],"airport":[80,106,146,191],"remote":[84,195],"sensing":[85,196],"First,":[87],"adopt":[89],"competition,":[92],"combining":[93],"input":[101],"images":[102,197],"obtain":[104],"candidate":[107],"regions.":[108],"After":[109],"segmentation,":[110],"(LSD)":[116],"is":[117],"used":[118],"extracting":[120],"features,":[122],"enhances":[124],"connection":[126],"between":[127],"broken":[128],"lines":[129],"greatly":[131],"improves":[132],"detected":[134],"quality.":[136],"Then":[137],"can":[139,185],"acquire":[140],"map":[143,159],"region.":[147],"At":[148],"last,":[149],"fuse":[151],"above":[153],"maps":[155],"binarization":[158],"obtained":[160],"by":[161],"Otsu":[163],"method,":[164],"aiming":[165],"eliminate":[167],"false":[169],"alarm.":[170],"Finally,":[171],"abundant":[172],"experiments":[173],"conducted,":[175],"testing":[178],"results":[179],"reveal":[180],"that":[181],"neoteric":[183],"method":[184],"clearly":[186],"accurately":[188],"extract":[189],"effectively":[199],"improve":[200],"accuracy":[202]},"counts_by_year":[],"updated_date":"2026-04-02T13:48:15.688549","created_date":"2026-01-14T00:00:00"}