{"id":"https://openalex.org/W3204340478","doi":"https://doi.org/10.1109/lgrs.2021.3111099","title":"Infrared Sea-Sky Line Detection Utilizing Self-Adaptive Laplacian of Gaussian Filter and Visual-Saliency-Based Probabilistic Hough Transform","display_name":"Infrared Sea-Sky Line Detection Utilizing Self-Adaptive Laplacian of Gaussian Filter and Visual-Saliency-Based Probabilistic Hough Transform","publication_year":2021,"publication_date":"2021-09-24","ids":{"openalex":"https://openalex.org/W3204340478","doi":"https://doi.org/10.1109/lgrs.2021.3111099","mag":"3204340478"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2021.3111099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3111099","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/A5008984631","display_name":"Jian Fu","orcid":"https://orcid.org/0000-0002-7324-4124"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Fu","raw_affiliation_strings":["School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7324-4124","affiliations":[{"raw_affiliation_string":"School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079643583","display_name":"Jianhui Zhao","orcid":"https://orcid.org/0000-0002-5275-4846"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhui Zhao","raw_affiliation_strings":["School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5275-4846","affiliations":[{"raw_affiliation_string":"School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103147133","display_name":"Fan Li","orcid":"https://orcid.org/0000-0002-1128-7559"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Li","raw_affiliation_strings":["School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":1.5735,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.83119141,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.9962999820709229,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9958000183105469,"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/hough-transform","display_name":"Hough transform","score":0.7135426998138428},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6841675639152527},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6808264255523682},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6057965159416199},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5550602674484253},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4957505166530609},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.48845353722572327},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48722043633461},{"id":"https://openalex.org/keywords/blob-detection","display_name":"Blob detection","score":0.4853452742099762},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4219890832901001},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.41782906651496887},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3662605285644531},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21667590737342834},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19074639678001404},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.16369569301605225},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06234508752822876}],"concepts":[{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.7135426998138428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6841675639152527},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6808264255523682},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6057965159416199},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5550602674484253},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4957505166530609},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.48845353722572327},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48722043633461},{"id":"https://openalex.org/C29168087","wikidata":"https://www.wikidata.org/wiki/Q1026711","display_name":"Blob detection","level":5,"score":0.4853452742099762},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4219890832901001},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.41782906651496887},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3662605285644531},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21667590737342834},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19074639678001404},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.16369569301605225},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06234508752822876},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2021.3111099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3111099","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":[{"score":0.8600000143051147,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[{"id":"https://openalex.org/G6629540849","display_name":null,"funder_award_id":"20180251003","funder_id":"https://openalex.org/F4320322857","funder_display_name":"Aeronautical Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320322857","display_name":"Aeronautical Science Foundation of China","ror":"https://ror.org/02wq41p38"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2025964197","https://openalex.org/W2029895480","https://openalex.org/W2033347644","https://openalex.org/W2052327124","https://openalex.org/W2160072137","https://openalex.org/W2289943644","https://openalex.org/W2336445371","https://openalex.org/W2366798695","https://openalex.org/W2559107149","https://openalex.org/W2579941838","https://openalex.org/W2912809890","https://openalex.org/W2921238624","https://openalex.org/W3040792771","https://openalex.org/W3092373096","https://openalex.org/W3092733921","https://openalex.org/W3114469818","https://openalex.org/W3157367987"],"related_works":["https://openalex.org/W2030098947","https://openalex.org/W1974777989","https://openalex.org/W2363834444","https://openalex.org/W2003466055","https://openalex.org/W2070077862","https://openalex.org/W2765199790","https://openalex.org/W2164944168","https://openalex.org/W262984167","https://openalex.org/W2372868647","https://openalex.org/W2070290716"],"abstract_inverted_index":{"Infrared":[0],"(IR)":[1],"sea-sky":[2,16],"line":[3,151],"(SSL)":[4],"detection":[5,46],"is":[6,76],"an":[7],"important":[8],"assisting":[9],"method":[10],"for":[11,207],"maritime":[12],"monitoring.":[13],"In":[14],"complex":[15,127],"backgrounds,":[17],"strong":[18],"clouds":[19],"and":[20,58,98,138,154,192,198],"waves":[21],"often":[22],"have":[23],"IR":[24,177],"features":[25],"similar":[26],"to":[27,114,133,147,168],"the":[28,33,68,79,84,91,95,101,109,112,115,118,123,126,135,140,149,162,170,185,189,199,205],"real":[29],"SSL,":[30],"which":[31,75,120],"challenges":[32],"true":[34],"positive":[35],"rate":[36],"(TPR)":[37],"of":[38,54,67,83,117],"SSL":[39,45,102,110,158],"detection.":[40],"We":[41],"propose":[42],"a":[43,50,71],"new":[44,73],"algorithm":[47,141,187],"based":[48,174],"on":[49,175],"novel":[51],"self-adaptive":[52,72],"Laplacian":[53,65],"Gaussian":[55],"(SALoG)":[56],"filter":[57,66],"visual-saliency-based":[59],"probabilistic":[60,143],"Hough":[61,144],"transform":[62,145],"(VSBPHT).":[63],"The":[64],"SALoG":[69],"has":[70,188],"kernel,":[74],"calculated":[77],"by":[78,157],"overall":[80],"gray":[81],"information":[82],"image.":[85],"Its":[86],"proportional-gray-reduction":[87],"feature":[88],"can":[89,107],"weaken":[90],"interferences,":[92],"especially":[93],"in":[94,125,131],"sky":[96],"region,":[97],"relatively":[99],"enhance":[100],"simultaneously,":[103],"so":[104],"that":[105,184],"we":[106],"detect":[108],"from":[111],"top":[113],"bottom":[116],"image":[119,178],"could":[121,203],"avoid":[122],"disturbances":[124],"sea":[128],"region.":[129],"Also,":[130],"order":[132],"improve":[134],"processing":[136,209],"speed":[137],"accuracy,":[139],"uses":[142],"(PHT)":[146],"extract":[148],"candidate":[150],"segment":[152],"set":[153],"refine":[155],"it":[156],"visual":[159],"saliency":[160],"features,":[161],"final":[163],"segments":[164],"are":[165],"then":[166],"used":[167],"fit":[169],"SSL.":[171],"Experimental":[172],"results":[173],"three":[176],"sequences":[179],"with":[180,195],"different":[181],"backgrounds":[182],"show":[183],"proposed":[186],"highest":[190],"TPR":[191],"precision":[193],"compared":[194],"state-of-the-art":[196],"algorithms,":[197],"average":[200],"time":[201],"consumption":[202],"meet":[204],"needs":[206],"real-time":[208],"as":[210],"well.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}