{"id":"https://openalex.org/W2912809890","doi":"https://doi.org/10.1109/tim.2019.2893008","title":"Horizon Detection From Electro-Optical Sensors Under Maritime Environment","display_name":"Horizon Detection From Electro-Optical Sensors Under Maritime Environment","publication_year":2019,"publication_date":"2019-02-05","ids":{"openalex":"https://openalex.org/W2912809890","doi":"https://doi.org/10.1109/tim.2019.2893008","mag":"2912809890"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2019.2893008","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2019.2893008","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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":null,"display_name":"Dong Liang","orcid":"https://orcid.org/0000-0003-2187-4201"},"institutions":[{"id":"https://openalex.org/I67256668","display_name":"National Technical University \"Kharkiv Polytechnic Institute\"","ror":"https://ror.org/00yp5c433","country_code":"UA","type":"education","lineage":["https://openalex.org/I67256668"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Dong Liang","raw_affiliation_strings":["Department of Computer Sciences, National Technical University, Kharkiv, Ukraine"],"raw_orcid":"https://orcid.org/0000-0003-2187-4201","affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, National Technical University, Kharkiv, Ukraine","institution_ids":["https://openalex.org/I67256668"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077400904","display_name":"Liang Ya","orcid":"https://orcid.org/0000-0001-9467-6666"},"institutions":[{"id":"https://openalex.org/I4210138016","display_name":"Weihai Chest Hospital","ror":"https://ror.org/039nc2k59","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210138016"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ya Liang","raw_affiliation_strings":["Weihai Ocean Vocational College, Weihai, China"],"raw_orcid":"https://orcid.org/0000-0001-9467-6666","affiliations":[{"raw_affiliation_string":"Weihai Ocean Vocational College, Weihai, China","institution_ids":["https://openalex.org/I4210138016"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":32.3792,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.9927859,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"69","issue":"1","first_page":"45","last_page":"53"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9990000128746033,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9990000128746033,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9925000071525574,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9912999868392944,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6822643280029297},{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.672928512096405},{"id":"https://openalex.org/keywords/horizon","display_name":"Horizon","score":0.6670146584510803},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6571251153945923},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6248380541801453},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.512843906879425},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5089037418365479},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.49018317461013794},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.44082045555114746},{"id":"https://openalex.org/keywords/sky","display_name":"Sky","score":0.43714243173599243},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.4248376786708832},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37488681077957153},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37245216965675354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.281893789768219},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19780784845352173},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14858096837997437}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6822643280029297},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.672928512096405},{"id":"https://openalex.org/C159176650","wikidata":"https://www.wikidata.org/wiki/Q43261","display_name":"Horizon","level":2,"score":0.6670146584510803},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6571251153945923},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6248380541801453},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.512843906879425},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5089037418365479},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49018317461013794},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.44082045555114746},{"id":"https://openalex.org/C73329638","wikidata":"https://www.wikidata.org/wiki/Q527","display_name":"Sky","level":2,"score":0.43714243173599243},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.4248376786708832},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37488681077957153},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37245216965675354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.281893789768219},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19780784845352173},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14858096837997437},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","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":1,"locations":[{"id":"doi:10.1109/tim.2019.2893008","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2019.2893008","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.800000011920929}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1672766972","https://openalex.org/W1980548317","https://openalex.org/W2002307672","https://openalex.org/W2010587301","https://openalex.org/W2024975501","https://openalex.org/W2025964197","https://openalex.org/W2042149502","https://openalex.org/W2066991062","https://openalex.org/W2069617200","https://openalex.org/W2077798464","https://openalex.org/W2095905764","https://openalex.org/W2111431148","https://openalex.org/W2115289080","https://openalex.org/W2119212696","https://openalex.org/W2132067725","https://openalex.org/W2139786650","https://openalex.org/W2145023731","https://openalex.org/W2159721784","https://openalex.org/W2160024241","https://openalex.org/W2170093984","https://openalex.org/W2240488629","https://openalex.org/W2293894573","https://openalex.org/W2438903770","https://openalex.org/W2521268865","https://openalex.org/W2552331162","https://openalex.org/W2559107149","https://openalex.org/W2610401527","https://openalex.org/W2625885472","https://openalex.org/W2767442849","https://openalex.org/W2799990732","https://openalex.org/W2883767467","https://openalex.org/W2888832380","https://openalex.org/W2963378926","https://openalex.org/W6680316771","https://openalex.org/W6689997522","https://openalex.org/W6726393737","https://openalex.org/W6737419332","https://openalex.org/W6753826936"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2030098947","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W1974777989","https://openalex.org/W2363834444","https://openalex.org/W2247121321","https://openalex.org/W2003466055","https://openalex.org/W2070077862","https://openalex.org/W2391926582"],"abstract_inverted_index":{"In":[0,87],"recent":[1],"years,":[2],"target":[3],"detection":[4,75],"in":[5,219],"maritime":[6,15],"surveillance":[7],"has":[8],"become":[9],"a":[10,44,69,90,129,136,142],"popular":[11],"subject.":[12],"Horizon":[13],"under":[14,202],"environment":[16],"is":[17,56,101,121,146,189],"one":[18],"of":[19,36,63,71,138,185],"the":[20,27,34,51,61,105,118,151,158,169,186,213],"most":[21],"important":[22],"semantic":[23],"boundaries":[24],"for":[25,73],"segmenting":[26],"image":[28],"into":[29],"sea":[30],"and":[31,85,98,117],"sky.":[32],"With":[33],"help":[35],"horizon,":[37],"seeking":[38],"scope":[39],"can":[40,164,211],"be":[41,155],"restricted":[42],"to":[43,58,82,109],"definite":[45,124],"small":[46],"area,":[47],"which":[48],"significantly":[49],"reduces":[50],"computational":[52],"complexity.":[53],"Meanwhile,":[54],"horizon":[55,74,170,214],"used":[57],"automatically":[59],"adjust":[60],"attitude":[62],"air":[64],"vehicles":[65],"as":[66,157],"well.":[67],"Although":[68],"plenty":[70],"algorithms":[72],"have":[76],"been":[77],"created,":[78],"they":[79],"are":[80,107],"prone":[81],"low":[83],"visibility":[84],"occlusions.":[86],"this":[88],"paper,":[89],"novel":[91,143],"robust":[92],"algorithm":[93,163,188,210],"based":[94],"on":[95,128,193],"probability":[96],"distribution":[97],"physical":[99],"characteristics":[100],"proposed.":[102],"At":[103],"first,":[104],"probabilities":[106],"distributed":[108],"each":[110],"vertically":[111],"divided":[112],"region":[113,120],"by":[114,191],"weighted":[115],"textures,":[116],"sea-sky":[119],"located":[122],"from":[123,171,176],"probabilistic":[125],"intervals.":[126],"Based":[127],"Canny":[130],"edge":[131],"detector,":[132],"Hough":[133],"transform":[134],"extracts":[135],"series":[137],"candidate":[139],"horizons.":[140],"Finally,":[141],"voting":[144],"method":[145],"applied.":[147],"The":[148,161,183,205],"line":[149,215],"with":[150,180,216,221],"maximum":[152],"value":[153],"will":[154],"regarded":[156],"true":[159],"horizon.":[160],"proposed":[162,187],"not":[165],"only":[166],"precisely":[167],"detect":[168,212],"fine":[172],"images":[173],"but":[174],"also":[175],"blurred":[177],"image,":[178],"even":[179],"splashed":[181],"camera.":[182],"performance":[184],"verified":[190],"experiments":[192],"65":[194],"videos":[195],"containing":[196],"more":[197],"than":[198],"20":[199],"000":[200],"frames":[201],"different":[203],"sceneries.":[204],"results":[206],"illustrate":[207],"that":[208],"our":[209],"minor":[217],"errors":[218],"comparison":[220],"other":[222],"five":[223],"state-of-the-art":[224],"algorithms.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}