{"id":"https://openalex.org/W4361791085","doi":"https://doi.org/10.1145/3577530.3577549","title":"Ship Fusion Recognition Based on AIS Data and Remote Sensing Image","display_name":"Ship Fusion Recognition Based on AIS Data and Remote Sensing Image","publication_year":2022,"publication_date":"2022-12-09","ids":{"openalex":"https://openalex.org/W4361791085","doi":"https://doi.org/10.1145/3577530.3577549"},"language":"en","primary_location":{"id":"doi:10.1145/3577530.3577549","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3577530.3577549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"},"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/A5045461930","display_name":"Guanglei Fan","orcid":"https://orcid.org/0000-0002-3352-8501"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanglei Fan","raw_affiliation_strings":["National University of Defense Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-3352-8501","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086019608","display_name":"Xin Song","orcid":"https://orcid.org/0000-0002-5380-3785"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Song","raw_affiliation_strings":["National University of Defense Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-5380-3785","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007006151","display_name":"Yong Zhao","orcid":"https://orcid.org/0000-0002-2289-0468"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhao","raw_affiliation_strings":["National University of Defense Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-2289-0468","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073889040","display_name":"Zhenguo Yan","orcid":"https://orcid.org/0000-0001-6608-7629"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenguo Yan","raw_affiliation_strings":["National University of Defense Technology, China"],"raw_orcid":"https://orcid.org/0000-0001-6608-7629","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071718088","display_name":"Xueyang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueyang Wang","raw_affiliation_strings":["National University of Defense Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-3474-5698","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"116","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9742000102996826,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9696000218391418,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/computer-science","display_name":"Computer science","score":0.7720293998718262},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.6715542674064636},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6526687145233154},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6439909934997559},{"id":"https://openalex.org/keywords/lookup-table","display_name":"Lookup table","score":0.6093264222145081},{"id":"https://openalex.org/keywords/multi-source","display_name":"Multi-source","score":0.5827085375785828},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5596007704734802},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5414152145385742},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5201119184494019},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5057728290557861},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.47369837760925293},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4551250636577606},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41908878087997437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4024547338485718},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38090333342552185},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3451805114746094},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34001249074935913},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09170296788215637}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7720293998718262},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.6715542674064636},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6526687145233154},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6439909934997559},{"id":"https://openalex.org/C134835016","wikidata":"https://www.wikidata.org/wiki/Q690265","display_name":"Lookup table","level":2,"score":0.6093264222145081},{"id":"https://openalex.org/C2780665216","wikidata":"https://www.wikidata.org/wiki/Q6934498","display_name":"Multi-source","level":2,"score":0.5827085375785828},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5596007704734802},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5414152145385742},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5201119184494019},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5057728290557861},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.47369837760925293},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4551250636577606},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41908878087997437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4024547338485718},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38090333342552185},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3451805114746094},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34001249074935913},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09170296788215637},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3577530.3577549","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3577530.3577549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2020704863","https://openalex.org/W2158449659","https://openalex.org/W2222512263","https://openalex.org/W2327254626","https://openalex.org/W2919115771","https://openalex.org/W3047064673","https://openalex.org/W3093308587","https://openalex.org/W3124348678","https://openalex.org/W3127987988","https://openalex.org/W3129276052","https://openalex.org/W3153201670","https://openalex.org/W3170271305","https://openalex.org/W3207542910","https://openalex.org/W4251675284","https://openalex.org/W6674388254"],"related_works":["https://openalex.org/W2062592733","https://openalex.org/W8795902","https://openalex.org/W2085627709","https://openalex.org/W2150355991","https://openalex.org/W2381518157","https://openalex.org/W2128228838","https://openalex.org/W2081383551","https://openalex.org/W2269472958","https://openalex.org/W2282571455","https://openalex.org/W2359492744"],"abstract_inverted_index":{"Data":[0],"fusion":[1,79,107],"is":[2,35,102],"the":[3,28,42,77,97],"process":[4],"of":[5,30,82],"integration":[6],"multiple":[7],"information":[8,25,48,64],"sources":[9],"to":[10,40,52,57],"obtain":[11],"more":[12],"consistent,":[13],"accurate":[14,106],"location":[15],"and":[16,46,59,72,85,93,105],"identity":[17],"estimates":[18],"than":[19],"that":[20,96],"provided":[21],"by":[22,66],"any":[23],"individual":[24],"source.":[26],"In":[27],"context":[29],"multi-source":[31],"data":[32,51,84],"fusion,":[33],"it":[34],"an":[36,103],"important":[37],"research":[38],"direction":[39],"use":[41],"rich":[43],"ship":[44,63],"dynamic":[45],"static":[47],"in":[49,70],"AIS":[50,83],"assist":[53],"remote":[54,86],"sensing":[55,87],"images":[56,88],"classify":[58],"identify":[60],"ships.":[61],"The":[62],"obtained":[65],"different":[67],"sensors":[68],"differs":[69],"content":[71],"form,":[73],"this":[74],"paper":[75],"proposes":[76],"feature-level":[78],"recognition":[80,108],"method":[81,101],"n-time":[89,98],"table":[90,99],"lookup":[91,100],"method,":[92],"experiments":[94],"show":[95],"efficient":[104],"method.":[109]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
