{"id":"https://openalex.org/W3205644338","doi":"https://doi.org/10.3390/rs13193940","title":"Optimizing Matching Area for Underwater Gravity-Aided Inertial Navigation Based on the Convolution Slop Parameter-Support Vector Machine Combined Method","display_name":"Optimizing Matching Area for Underwater Gravity-Aided Inertial Navigation Based on the Convolution Slop Parameter-Support Vector Machine Combined Method","publication_year":2021,"publication_date":"2021-10-01","ids":{"openalex":"https://openalex.org/W3205644338","doi":"https://doi.org/10.3390/rs13193940","mag":"3205644338"},"language":"en","primary_location":{"id":"doi:10.3390/rs13193940","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13193940","pdf_url":"https://www.mdpi.com/2072-4292/13/19/3940/pdf","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/13/19/3940/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000162492","display_name":"Shuoqi Wang","orcid":"https://orcid.org/0000-0002-3782-624X"},"institutions":[{"id":"https://openalex.org/I194716290","display_name":"China Academy of Space Technology","ror":"https://ror.org/025397a59","country_code":"CN","type":"government","lineage":["https://openalex.org/I194716290","https://openalex.org/I2802615301"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuoqi Wang","raw_affiliation_strings":["Qian Xuesen Laboratory of Space Technology, China Academy of Space Technology, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Qian Xuesen Laboratory of Space Technology, China Academy of Space Technology, Beijing 100094, China","institution_ids":["https://openalex.org/I194716290"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100763404","display_name":"Wei Zheng","orcid":"https://orcid.org/0000-0002-6852-8966"},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]},{"id":"https://openalex.org/I194716290","display_name":"China Academy of Space Technology","ror":"https://ror.org/025397a59","country_code":"CN","type":"government","lineage":["https://openalex.org/I194716290","https://openalex.org/I2802615301"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Zheng","raw_affiliation_strings":["Qian Xuesen Laboratory of Space Technology, China Academy of Space Technology, Beijing 100094, China","School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China","School of Geomatics, Liaoning Technical University, Fuxin 123000, China"],"affiliations":[{"raw_affiliation_string":"Qian Xuesen Laboratory of Space Technology, China Academy of Space Technology, Beijing 100094, China","institution_ids":["https://openalex.org/I194716290"]},{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Geomatics, Liaoning Technical University, Fuxin 123000, China","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101455645","display_name":"Zhaowei Li","orcid":"https://orcid.org/0000-0001-6719-3917"},"institutions":[{"id":"https://openalex.org/I194716290","display_name":"China Academy of Space Technology","ror":"https://ror.org/025397a59","country_code":"CN","type":"government","lineage":["https://openalex.org/I194716290","https://openalex.org/I2802615301"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaowei Li","raw_affiliation_strings":["Qian Xuesen Laboratory of Space Technology, China Academy of Space Technology, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Qian Xuesen Laboratory of Space Technology, China Academy of Space Technology, Beijing 100094, China","institution_ids":["https://openalex.org/I194716290"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100763404"],"corresponding_institution_ids":["https://openalex.org/I176808543","https://openalex.org/I194716290","https://openalex.org/I204983213"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.3866,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.80034765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"13","issue":"19","first_page":"3940","last_page":"3940"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9940000176429749,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9940000176429749,"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/T11622","display_name":"Maritime Navigation and Safety","score":0.9919000267982483,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9884999990463257,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inertial-navigation-system","display_name":"Inertial navigation system","score":0.6039676666259766},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6015503406524658},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5798560976982117},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4633368253707886},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4156343340873718},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4006730914115906},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3840084969997406},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32368361949920654},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3214215338230133},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.23631930351257324},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1245289146900177},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.08323776721954346}],"concepts":[{"id":"https://openalex.org/C128651787","wikidata":"https://www.wikidata.org/wiki/Q570607","display_name":"Inertial navigation system","level":3,"score":0.6039676666259766},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6015503406524658},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5798560976982117},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4633368253707886},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4156343340873718},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4006730914115906},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3840084969997406},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32368361949920654},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3214215338230133},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.23631930351257324},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1245289146900177},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08323776721954346},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13193940","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13193940","pdf_url":"https://www.mdpi.com/2072-4292/13/19/3940/pdf","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c5398059b4ca4933abc2864b4a3ba6c3","is_oa":true,"landing_page_url":"https://doaj.org/article/c5398059b4ca4933abc2864b4a3ba6c3","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 13, Iss 19, p 3940 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/19/3940/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13193940","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 13; Issue 19; Pages: 3940","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13193940","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13193940","pdf_url":"https://www.mdpi.com/2072-4292/13/19/3940/pdf","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life below water","score":0.800000011920929,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332603","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3205644338.pdf","grobid_xml":"https://content.openalex.org/works/W3205644338.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W2058710513","https://openalex.org/W2123737232","https://openalex.org/W2153534417","https://openalex.org/W2153635508","https://openalex.org/W2273948100","https://openalex.org/W2283626220","https://openalex.org/W2392504630","https://openalex.org/W2462018873","https://openalex.org/W2600175382","https://openalex.org/W2743347424","https://openalex.org/W2771999746","https://openalex.org/W2789950517","https://openalex.org/W2908110836","https://openalex.org/W2914616826","https://openalex.org/W2922416849","https://openalex.org/W2924784924","https://openalex.org/W2944364815","https://openalex.org/W2945020349","https://openalex.org/W2952867790","https://openalex.org/W2970972488","https://openalex.org/W2999209595","https://openalex.org/W3011220254","https://openalex.org/W3046104842","https://openalex.org/W3133849452","https://openalex.org/W3188237939","https://openalex.org/W3189484777","https://openalex.org/W6694364953"],"related_works":["https://openalex.org/W4324144368","https://openalex.org/W2518495359","https://openalex.org/W4247347568","https://openalex.org/W2539237505","https://openalex.org/W4386858688","https://openalex.org/W2982536526","https://openalex.org/W4380302312","https://openalex.org/W3008689640","https://openalex.org/W4385338604","https://openalex.org/W3081626085"],"abstract_inverted_index":{"This":[0],"paper":[1],"focuses":[2],"on":[3,80],"the":[4,10,16,24,30,41,45,54,64,67,73,81,86,99,115,118,122,132,144,147,164,177,190,196,200],"selection":[5],"of":[6,23,63,72,121],"matching":[7],"areas":[8],"in":[9,21,163,189],"gravity-aided":[11],"inertial":[12],"navigation":[13,159],"system.":[14],"Firstly,":[15],"Sobel":[17],"operator":[18],"was":[19,161,171,180],"used":[20],"convolution":[22,34,57,61,87,133],"gravity":[25,46,74],"anomaly":[26,47,75],"map":[27,43],"to":[28,107,155],"obtain":[29],"feature":[31,42,65],"map.":[32,48],"The":[33,49,109,158,167,184],"slope":[35,88,134],"parameters":[36,106],"were":[37,77],"constructed":[38],"by":[39],"combining":[40],"and":[44,59,70,104,146,176,198],"characteristic":[50],"parameters,":[51],"such":[52],"as":[53],"difference":[55],"between":[56,143],"rows":[58],"columns,":[60],"variance":[62],"map,":[66,76],"pooling":[68],"difference,":[69],"range":[71],"combined.":[78],"Based":[79],"support":[82],"vector":[83,90,136],"machine":[84,91,137],"algorithm,":[85],"parameter-support":[89,135],"combined":[92,138],"method":[93,139,154],"is":[94,125],"proposed.":[95],"Second,":[96],"we":[97,151],"selected":[98,191],"appropriate":[100],"training":[101],"sample":[102],"set":[103,105,124],"verify.":[108],"results":[110,185],"show":[111,186],"that":[112,131,187],"compared":[113],"with":[114],"pre-calibration":[116],"results,":[117],"classification":[119],"accuracy":[120],"test":[123],"more":[126,181],"than":[127,173,182],"92%,":[128],"which":[129],"proves":[130],"can":[140,193],"effectively":[141],"distinguish":[142],"suitable":[145],"unsuitable":[148],"area.":[149,166],"Thirdly,":[150],"applied":[152],"this":[153],"another":[156],"region.":[157],"experiment":[160],"performed":[162],"split-matching":[165],"average":[168],"positioning":[169,201],"error":[170],"better":[172],"100":[174],"m,":[175],"correct":[178],"rate":[179],"90%.":[183],"sailing":[188],"area":[192],"accurately":[194],"match":[195],"trajectory":[197],"reduce":[199],"error.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
