{"id":"https://openalex.org/W4408771237","doi":"https://doi.org/10.1049/icp.2025.0355","title":"Research on spatial distribution of ship encounters based on optimized feature extraction algorithm and integrated AIS data","display_name":"Research on spatial distribution of ship encounters based on optimized feature extraction algorithm and integrated AIS data","publication_year":2025,"publication_date":"2025-03-01","ids":{"openalex":"https://openalex.org/W4408771237","doi":"https://doi.org/10.1049/icp.2025.0355"},"language":"en","primary_location":{"id":"doi:10.1049/icp.2025.0355","doi":"https://doi.org/10.1049/icp.2025.0355","is_oa":false,"landing_page_url":"https://doi.org/10.1049/icp.2025.0355","pdf_url":null,"source":{"id":"https://openalex.org/S4404663355","display_name":"IET conference proceedings.","issn_l":"2732-4494","issn":["2732-4494"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Conference Proceedings","raw_type":"journal-article"},"volume":null,"type":"conference-paper","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/A5102992365","display_name":"Xianglong Chen","orcid":"https://orcid.org/0000-0002-6813-5660","observed_orcids":["https://orcid.org/0000-0002-6813-5660"]},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianglong Chen","raw_affiliation_strings":["Navigation College, Dalian Maritime University, Dalian, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Navigation College, Dalian Maritime University, Dalian, People's Republic of China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101196768","display_name":"Yuelin Zhao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuelin Zhao","raw_affiliation_strings":["Navigation College, Dalian Maritime University, Dalian, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Navigation College, Dalian Maritime University, Dalian, People's Republic of China","institution_ids":["https://openalex.org/I43313876"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":null,"apc_paid":null,"fwci":0.8565,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69043672,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":"2024","issue":"35","first_page":"46","last_page":"51"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.5990999937057495,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.5990999937057495,"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/T11622","display_name":"Maritime Navigation and Safety","score":0.32499998807907104,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.01889999955892563,"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/ship-encounters","display_name":"ship encounters","score":0.8709999918937683},{"id":"https://openalex.org/keywords/spatial-distribution","display_name":"spatial distribution","score":0.7269999980926514},{"id":"https://openalex.org/keywords/local-binary-pattern","display_name":"local binary pattern","score":0.8939999938011169},{"id":"https://openalex.org/keywords/moving-object-detection","display_name":"moving object detection","score":0.7789999842643738},{"id":"https://openalex.org/keywords/vessel-tracking","display_name":"vessel tracking","score":0.6489999890327454},{"id":"https://openalex.org/keywords/frame-difference","display_name":"frame difference","score":0.8289999961853027},{"id":"https://openalex.org/keywords/navigation-safety","display_name":"navigation safety","score":0.7820000052452087},{"id":"https://openalex.org/keywords/maritime-situation-awareness","display_name":"maritime situation awareness","score":0.5370000004768372}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.550900399684906},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5301706790924072},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.5211872458457947},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5206348299980164},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.48298919200897217},{"id":"https://openalex.org/C2777016058","wikidata":"https://www.wikidata.org/wiki/Q7574061","display_name":"Spatial distribution","level":2,"score":0.45117253065109253},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4313708543777466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41741225123405457},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4126327931880951},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36311787366867065},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.22889864444732666},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18378081917762756},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1776358187198639},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1049/icp.2025.0355","doi":"https://doi.org/10.1049/icp.2025.0355","is_oa":false,"landing_page_url":"https://doi.org/10.1049/icp.2025.0355","pdf_url":null,"source":{"id":"https://openalex.org/S4404663355","display_name":"IET conference proceedings.","issn_l":"2732-4494","issn":["2732-4494"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Conference Proceedings","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3147584709","https://openalex.org/W2377297411","https://openalex.org/W2977677679","https://openalex.org/W1992327129","https://openalex.org/W3148217948","https://openalex.org/W2381986121","https://openalex.org/W2370918718","https://openalex.org/W2375788636","https://openalex.org/W2256933480","https://openalex.org/W2391142751"],"abstract_inverted_index":{"The":[0],"research":[1],"on":[2,24,33,64],"the":[3,25,34,65,71,102,125,152,165],"spatial":[4,126,176],"distribution":[5,127,177],"relationship":[6,128,178],"of":[7,53,67,73,112,129,168,179],"ship":[8,99,130,141,180],"encounters":[9],"holds":[10],"significant":[11],"importance":[12],"for":[13,50,108],"ensuring":[14],"navigation":[15,38,166],"safety.":[16],"Against":[17],"this":[18,136],"backdrop,":[19],"heightened":[20],"demands":[21],"are":[22],"placed":[23],"situation":[26,167],"awareness":[27],"between":[28],"ships.":[29,55,114],"This":[30,56],"paper,":[31],"focusing":[32],"complex":[35],"and":[36,171],"ever-changing":[37],"environment":[39],"at":[40],"sea,":[41],"proposes":[42],"an":[43,87],"improved":[44],"LBP":[45],"(Local":[46],"Binary":[47,92],"Pattern)":[48],"algorithm":[49,57,94,137],"feature":[51],"extraction":[52,154],"target":[54,110,146,169],"first":[58],"establishes":[59],"a":[60,173],"background":[61],"model":[62],"based":[63],"mode":[66],"grayscale":[68],"values":[69],"in":[70,143],"histogram":[72],"each":[74],"pixel":[75],"across":[76],"image":[77],"sequences,":[78],"enabling":[79],"it":[80],"to":[81,83,97,123],"adapt":[82],"scene":[84],"changes.":[85],"Subsequently,":[86],"enhanced":[88],"NRLBP-U":[89],"(Non-Redundant":[90],"Local":[91],"Pattern-Uniform)":[93],"is":[95,106,121],"employed":[96],"extract":[98,140],"features.":[100],"Then,":[101],"inter-frame":[103],"difference":[104],"method":[105],"utilized":[107],"real-time":[109],"tracking":[111],"other":[113],"Finally,":[115],"AIS":[116,159],"(Automatic":[117],"Identification":[118],"System)":[119],"data":[120],"integrated":[122],"construct":[124],"encounters.":[131,181],"Experimental":[132],"results":[133],"demonstrate":[134],"that":[135],"can":[138,161],"effectively":[139],"features":[142],"maritime":[144],"moving":[145],"detection":[147],"with":[148,158],"robust":[149],"performance.":[150],"Furthermore,":[151],"optimized":[153],"algorithm,":[155],"when":[156],"fused":[157],"data,":[160],"more":[162,174],"accurately":[163],"assess":[164],"ships":[170],"establish":[172],"precise":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-25T07:29:55.448023","created_date":"2025-10-10T00:00:00"}