{"id":"https://openalex.org/W3096440539","doi":"https://doi.org/10.1109/cw49994.2020.9247845","title":"The real-time reliable detection of the horizon line on high-resolution maritime images for unmanned surface-vehicle","display_name":"The real-time reliable detection of the horizon line on high-resolution maritime images for unmanned surface-vehicle","publication_year":2020,"publication_date":"2020-09-01","ids":{"openalex":"https://openalex.org/W3096440539","doi":"https://doi.org/10.1109/cw49994.2020.9247845","mag":"3096440539"},"language":"en","primary_location":{"id":"doi:10.1109/cw49994.2020.9247845","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cw49994.2020.9247845","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Cyberworlds (CW)","raw_type":"proceedings-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/A5039087698","display_name":"Uuganbayar Ganbold","orcid":"https://orcid.org/0009-0002-6235-1650"},"institutions":[{"id":"https://openalex.org/I173009982","display_name":"Iwate University","ror":"https://ror.org/04cd75h10","country_code":"JP","type":"education","lineage":["https://openalex.org/I173009982"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Uuganbayar Ganbold","raw_affiliation_strings":["Graduate School of Engineering, Iwate University, Iwate, Japan","Iwate University,Graduate School of Engineering,Iwate,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Iwate University, Iwate, Japan","institution_ids":["https://openalex.org/I173009982"]},{"raw_affiliation_string":"Iwate University,Graduate School of Engineering,Iwate,Japan","institution_ids":["https://openalex.org/I173009982"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045648943","display_name":"Takuya Akashi","orcid":"https://orcid.org/0000-0001-9177-7306"},"institutions":[{"id":"https://openalex.org/I173009982","display_name":"Iwate University","ror":"https://ror.org/04cd75h10","country_code":"JP","type":"education","lineage":["https://openalex.org/I173009982"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuya Akashi","raw_affiliation_strings":["Faculty of Science and Engineering, Iwate University, Iwate, Japan","Iwate University Faculty of Science and Engineering Iwate Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Science and Engineering, Iwate University, Iwate, Japan","institution_ids":["https://openalex.org/I173009982"]},{"raw_affiliation_string":"Iwate University Faculty of Science and Engineering Iwate Japan","institution_ids":["https://openalex.org/I173009982"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039087698"],"corresponding_institution_ids":["https://openalex.org/I173009982"],"apc_list":null,"apc_paid":null,"fwci":2.7613,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.90404726,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"3","issue":null,"first_page":"204","last_page":"210"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9973000288009644,"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":0.9973000288009644,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9287999868392944,"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/T11622","display_name":"Maritime Navigation and Safety","score":0.9143000245094299,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/horizon","display_name":"Horizon","score":0.6950132846832275},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6508641839027405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6148570775985718},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.6100841760635376},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5677383542060852},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5295758247375488},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43511727452278137},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3518596291542053},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13601040840148926}],"concepts":[{"id":"https://openalex.org/C159176650","wikidata":"https://www.wikidata.org/wiki/Q43261","display_name":"Horizon","level":2,"score":0.6950132846832275},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6508641839027405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6148570775985718},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.6100841760635376},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5677383542060852},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5295758247375488},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43511727452278137},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3518596291542053},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13601040840148926},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cw49994.2020.9247845","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cw49994.2020.9247845","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Cyberworlds (CW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2033819227","https://openalex.org/W2042149502","https://openalex.org/W2095204446","https://openalex.org/W2160024241","https://openalex.org/W2521268865","https://openalex.org/W2552331162","https://openalex.org/W2559107149","https://openalex.org/W2610401527","https://openalex.org/W2912809890","https://openalex.org/W2963378926","https://openalex.org/W2979836270","https://openalex.org/W4245448533","https://openalex.org/W4324111145","https://openalex.org/W6726393737","https://openalex.org/W6737419332","https://openalex.org/W6851304300"],"related_works":["https://openalex.org/W4233159725","https://openalex.org/W2347391878","https://openalex.org/W2347250522","https://openalex.org/W4388749683","https://openalex.org/W2051033938","https://openalex.org/W2330249823","https://openalex.org/W2883321025","https://openalex.org/W2083682122","https://openalex.org/W2755342338","https://openalex.org/W2073187418"],"abstract_inverted_index":{"Horizon":[0],"detection":[1,20,49],"is":[2,77,145,174],"useful":[3],"in":[4,40,86,197],"maritime":[5,41],"image":[6,62,89],"processing":[7,105,117],"for":[8,25,35],"various":[9],"purposes,":[10],"such":[11],"as":[12,66],"spatial":[13],"orientation":[14],"estimation":[15],"of":[16,21,74,82,93,127,179],"ship":[17],"camera":[18],"and":[19,69,136,152,163],"the":[22,37,46,54,60,67,72,78,87,94,108,124,128,137,142,159,164,169,177,180,185,191],"significant":[23],"region":[24],"post-processing.":[26],"This":[27],"paper":[28],"proposed":[29,170,186],"a":[30,132,149,153],"novel":[31],"realtime":[32,104],"optimization-based":[33],"method":[34,157,187],"detecting":[36],"horizon":[38,47,55,95,109,129,192],"line":[39,48,56,96,110,130,134,193],"images.":[42,113],"Traditional":[43],"methods":[44,76,100],"defined":[45],"problem":[50],"aim":[51],"to":[52,106,176],"detect":[53,107,190],"which":[57],"perfectly":[58],"divides":[59],"whole":[61,88],"into":[63],"two":[64],"regions":[65],"sky":[68],"sea.":[70],"Thus,":[71],"complication":[73],"traditional":[75,99],"statistical":[79],"distance":[80],"metrics":[81],"distributions":[83],"are":[84],"calculated":[85],"by":[90,147],"all":[91],"combinations":[92],"parameters.":[97],"Moreover,":[98],"do":[101],"not":[102],"provide":[103],"from":[111],"high-resolution":[112,119],"To":[114,167],"achieve":[115],"real-time":[116],"on":[118],"images,":[120],"this":[121],"study":[122],"defines":[123],"local":[125],"features":[126],"using":[131],"vanishing":[133],"characteristic":[135],"optimization":[138,143],"criteria.":[139],"In":[140],"addition,":[141],"process":[144],"improved":[146],"combining":[148],"genetic":[150],"algorithm":[151],"coarse-to-fine":[154],"approach.":[155],"Our":[156],"applied":[158],"Singapore":[160],"marine":[161],"dataset":[162],"Buoy":[165],"dataset.":[166],"verify":[168],"method,":[171],"our":[172],"result":[173],"compared":[175],"state":[178],"art":[181],"methods.":[182],"We":[183],"confirm":[184],"can":[188],"accurately":[189],"under":[194],"different":[195],"scenarios":[196],"real-time.":[198]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
