{"id":"https://openalex.org/W2792584734","doi":"https://doi.org/10.1109/ipta.2017.8310127","title":"Effective Waterline detection for unmanned surface vehicles in inland water","display_name":"Effective Waterline detection for unmanned surface vehicles in inland water","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2792584734","doi":"https://doi.org/10.1109/ipta.2017.8310127","mag":"2792584734"},"language":"en","primary_location":{"id":"doi:10.1109/ipta.2017.8310127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2017.8310127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA)","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/A5071001924","display_name":"Wenqiang Zhan","orcid":"https://orcid.org/0000-0002-9003-0478"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenqiang Zhan","raw_affiliation_strings":["School of Navigation, Wuhan University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Navigation, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034382617","display_name":"Changshi Xiao","orcid":"https://orcid.org/0000-0001-9286-2094"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changshi Xiao","raw_affiliation_strings":["School of Navigation, Wuhan University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Navigation, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066905554","display_name":"Haiwen Yuan","orcid":"https://orcid.org/0000-0002-5609-4558"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiwen Yuan","raw_affiliation_strings":["School of Navigation, Wuhan University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Navigation, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102144374","display_name":"Yuanqiao Wen","orcid":"https://orcid.org/0000-0002-8657-4755"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanqiao Wen","raw_affiliation_strings":["School of Navigation, Wuhan University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Navigation, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5071001924"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":1.6942,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.84894944,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9970999956130981,"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"}},"topics":[{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9970999956130981,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9769999980926514,"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/T11604","display_name":"Ship Hydrodynamics and Maneuverability","score":0.9736999869346619,"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/waterline","display_name":"Waterline","score":0.7789376378059387},{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.722585916519165},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.6974586248397827},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6153937578201294},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.5471621155738831},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5350730419158936},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.512540340423584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4784024655818939},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4610850214958191},{"id":"https://openalex.org/keywords/unmanned-surface-vehicle","display_name":"Unmanned surface vehicle","score":0.44583866000175476},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.43052399158477783},{"id":"https://openalex.org/keywords/surface-water","display_name":"Surface water","score":0.4129279851913452},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2671988010406494},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22730198502540588},{"id":"https://openalex.org/keywords/marine-engineering","display_name":"Marine engineering","score":0.1880599856376648},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1653839647769928},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.12102055549621582},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09802085161209106}],"concepts":[{"id":"https://openalex.org/C161064598","wikidata":"https://www.wikidata.org/wiki/Q492878","display_name":"Waterline","level":3,"score":0.7789376378059387},{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.722585916519165},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.6974586248397827},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6153937578201294},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.5471621155738831},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5350730419158936},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.512540340423584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4784024655818939},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4610850214958191},{"id":"https://openalex.org/C2987248590","wikidata":"https://www.wikidata.org/wiki/Q4419860","display_name":"Unmanned surface vehicle","level":2,"score":0.44583866000175476},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.43052399158477783},{"id":"https://openalex.org/C8625798","wikidata":"https://www.wikidata.org/wiki/Q752112","display_name":"Surface water","level":2,"score":0.4129279851913452},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2671988010406494},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22730198502540588},{"id":"https://openalex.org/C199104240","wikidata":"https://www.wikidata.org/wiki/Q118291","display_name":"Marine engineering","level":1,"score":0.1880599856376648},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1653839647769928},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.12102055549621582},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09802085161209106},{"id":"https://openalex.org/C37423430","wikidata":"https://www.wikidata.org/wiki/Q6750281","display_name":"Hull","level":2,"score":0.0},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipta.2017.8310127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2017.8310127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1493670647","https://openalex.org/W1982179218","https://openalex.org/W2022067032","https://openalex.org/W2025964197","https://openalex.org/W2032133542","https://openalex.org/W2047544089","https://openalex.org/W2078718577","https://openalex.org/W2082049812","https://openalex.org/W2119869880","https://openalex.org/W2161809308","https://openalex.org/W2166289901","https://openalex.org/W2193950854","https://openalex.org/W2325457535","https://openalex.org/W2437886923","https://openalex.org/W2438903770","https://openalex.org/W2516899349","https://openalex.org/W2521268865","https://openalex.org/W2579941838","https://openalex.org/W2599626869","https://openalex.org/W6726393737"],"related_works":["https://openalex.org/W2131378265","https://openalex.org/W2379011754","https://openalex.org/W2984240274","https://openalex.org/W3107042705","https://openalex.org/W2981196697","https://openalex.org/W2365167425","https://openalex.org/W2115876589","https://openalex.org/W3012182724","https://openalex.org/W3215466788","https://openalex.org/W4322741571"],"abstract_inverted_index":{"In":[0,69],"the":[1,44,66,83,88,93,101,105,110,114,127,136,141],"maritime":[2],"environment,":[3],"real-time":[4],"and":[5,30,73,103,138,146],"accurate":[6],"water":[7,25,27,45,54,84,111,118],"line":[8,46,55,75,119,125],"detection":[9,56],"can":[10,147],"help":[11],"unmanned":[12],"surface":[13,28],"vehicles":[14],"(USVs)":[15],"for":[16,40,60],"autonomous":[17],"navigation.":[18],"Special":[19],"features":[20],"such":[21,108],"as":[22,80,109],"cloud":[23],"clutter,":[24],"reflection,":[26],"glint":[29],"background":[31,91,106],"texture":[32],"in":[33,65,135],"optical":[34],"images":[35],"make":[36],"it":[37],"very":[38],"difficult":[39],"USV":[41,63],"to":[42,99,150],"detect":[43],"accurately.":[47],"To":[48,86],"address":[49],"this":[50,70],"problem,":[51],"a":[52,61,124],"novel":[53],"approach":[57,143],"is":[58,97,144],"proposed":[59,142],"practical":[62],"system":[64],"inland":[67],"water.":[68],"paper,":[71],"land-water":[72],"sky-water":[74],"are":[76,121,133],"taken":[77],"into":[78],"consideration":[79],"part":[81],"of":[82,90],"line.":[85,112],"minimize":[87],"influence":[89],"texture,":[92],"local":[94],"variation":[95],"method":[96],"introduced":[98],"smooth":[100],"image":[102],"remain":[104],"structure,":[107],"Regarding":[113],"linear":[115],"characteristic,":[116],"these":[117],"points":[120],"constrained":[122],"near":[123],"by":[126],"RANSAC":[128],"algorithm.":[129],"The":[130],"experimental":[131],"results":[132],"given":[134],"end":[137],"show":[139],"that":[140],"effective":[145],"be":[148],"applied":[149],"different":[151],"environments.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}