{"id":"https://openalex.org/W2164690393","doi":"https://doi.org/10.1109/tip.2009.2017161","title":"Bayesian Data Fusion of Multiview Synthetic Aperture Sonar Imagery for Seabed Classification","display_name":"Bayesian Data Fusion of Multiview Synthetic Aperture Sonar Imagery for Seabed Classification","publication_year":2009,"publication_date":"2009-05-04","ids":{"openalex":"https://openalex.org/W2164690393","doi":"https://doi.org/10.1109/tip.2009.2017161","mag":"2164690393","pmid":"https://pubmed.ncbi.nlm.nih.gov/19414291"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2009.2017161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2009.2017161","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5044099084","display_name":"David P. Williams","orcid":"https://orcid.org/0000-0001-8317-3879"},"institutions":[{"id":"https://openalex.org/I1342391420","display_name":"NATO Centre for Maritime Research and Experimentation","ror":"https://ror.org/049z8cx69","country_code":"IT","type":"facility","lineage":["https://openalex.org/I1342391420","https://openalex.org/I4210123720","https://openalex.org/I4210162703"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"D.P. Williams","raw_affiliation_strings":["NATO Undersea Research Centre, 19126 La Spezia (SP), Italy. williams@nurc.nato.int","NATO Undersea Research Centre, La Spezia, Italy"],"affiliations":[{"raw_affiliation_string":"NATO Undersea Research Centre, 19126 La Spezia (SP), Italy. williams@nurc.nato.int","institution_ids":["https://openalex.org/I1342391420"]},{"raw_affiliation_string":"NATO Undersea Research Centre, La Spezia, Italy","institution_ids":["https://openalex.org/I1342391420"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5044099084"],"corresponding_institution_ids":["https://openalex.org/I1342391420"],"apc_list":null,"apc_paid":null,"fwci":2.3626,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.88083121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"18","issue":"6","first_page":"1239","last_page":"1254"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10399","display_name":"Hydrocarbon exploration and reservoir analysis","score":0.9381999969482422,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9187999963760376,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/synthetic-aperture-sonar","display_name":"Synthetic aperture sonar","score":0.8444699048995972},{"id":"https://openalex.org/keywords/sonar","display_name":"Sonar","score":0.8047527074813843},{"id":"https://openalex.org/keywords/seabed","display_name":"Seabed","score":0.7399289011955261},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.682624101638794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6319555044174194},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5572159886360168},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.5391398668289185},{"id":"https://openalex.org/keywords/sonar-signal-processing","display_name":"Sonar signal processing","score":0.5254268646240234},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5036665797233582},{"id":"https://openalex.org/keywords/bathymetry","display_name":"Bathymetry","score":0.5003507137298584},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4959178864955902},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.47223564982414246},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4650617241859436},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42080438137054443},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.21785074472427368},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.08579793572425842},{"id":"https://openalex.org/keywords/oceanography","display_name":"Oceanography","score":0.0827806293964386}],"concepts":[{"id":"https://openalex.org/C181255713","wikidata":"https://www.wikidata.org/wiki/Q7662740","display_name":"Synthetic aperture sonar","level":3,"score":0.8444699048995972},{"id":"https://openalex.org/C555745239","wikidata":"https://www.wikidata.org/wiki/Q133220","display_name":"Sonar","level":2,"score":0.8047527074813843},{"id":"https://openalex.org/C33613203","wikidata":"https://www.wikidata.org/wiki/Q468469","display_name":"Seabed","level":2,"score":0.7399289011955261},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.682624101638794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6319555044174194},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5572159886360168},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.5391398668289185},{"id":"https://openalex.org/C2778260390","wikidata":"https://www.wikidata.org/wiki/Q15378713","display_name":"Sonar signal processing","level":4,"score":0.5254268646240234},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5036665797233582},{"id":"https://openalex.org/C174943157","wikidata":"https://www.wikidata.org/wiki/Q810826","display_name":"Bathymetry","level":2,"score":0.5003507137298584},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4959178864955902},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.47223564982414246},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4650617241859436},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42080438137054443},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.21785074472427368},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.08579793572425842},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0827806293964386},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2009.2017161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2009.2017161","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:19414291","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/19414291","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.711.7199","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.711.7199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.davidwilliamsphd.com/publications/DPW_TIP09_SS.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8700000047683716,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W18046889","https://openalex.org/W1506281249","https://openalex.org/W1524847204","https://openalex.org/W1570770495","https://openalex.org/W1978639236","https://openalex.org/W2049633694","https://openalex.org/W2053169718","https://openalex.org/W2056200898","https://openalex.org/W2059397245","https://openalex.org/W2076045951","https://openalex.org/W2099111195","https://openalex.org/W2101998370","https://openalex.org/W2115305054","https://openalex.org/W2115755118","https://openalex.org/W2115979064","https://openalex.org/W2116305951","https://openalex.org/W2144578442","https://openalex.org/W2308181013","https://openalex.org/W2543561747","https://openalex.org/W2799061466","https://openalex.org/W3103871524","https://openalex.org/W4205687621","https://openalex.org/W6633833189"],"related_works":["https://openalex.org/W2124036443","https://openalex.org/W2610363864","https://openalex.org/W2522001250","https://openalex.org/W1837732302","https://openalex.org/W2770554383","https://openalex.org/W2586963099","https://openalex.org/W2023227190","https://openalex.org/W2911323905","https://openalex.org/W1993360770","https://openalex.org/W2134159182"],"abstract_inverted_index":{"A":[0],"Bayesian":[1,98],"data":[2,30,76,107,137,153],"fusion":[3],"approach":[4,19],"for":[5],"seabed":[6,54,112],"classification":[7,146],"using":[8],"multiview":[9,145,157],"synthetic":[10],"aperture":[11],"sonar":[12],"(SAS)":[13],"imagery":[14,159],"is":[15,44,61,100,115],"proposed.":[16],"The":[17,93],"principled":[18],"exploits":[20],"all":[21],"available":[22],"information":[23],"and":[24],"results":[25,141],"in":[26,125],"probabilistic":[27],"predictions.":[28],"Each":[29],"point,":[31],"corresponding":[32],"to":[33,110,131,138],"a":[34,47,65,89,105,126,151],"unique":[35,66],"10":[36,39],"m":[37,40],"x":[38],"area":[41,79],"of":[42,49,58,73,80,96,128,142,155,166],"seabed,":[43],"represented":[45],"by":[46,64],"vector":[48],"wavelet-based":[50],"features.":[51],"For":[52],"each":[53,111],"type,":[55],"the":[56,74,84,101,133,143],"distribution":[57],"these":[59,119],"features":[60],"then":[62],"modeled":[63],"Gaussian":[67],"mixture":[68],"model.":[69],"When":[70],"multiple":[71],"views":[72,85],"same":[75],"point":[77,108],"(i.e.,":[78],"seabed)":[81],"are":[82,86,148],"available,":[83],"combined":[87],"via":[88],"joint":[90],"likelihood":[91],"calculation.":[92],"end":[94],"result":[95],"this":[97],"formulation":[99],"posterior":[102,120],"probability":[103],"that":[104],"given":[106],"belongs":[109],"type.":[113],"It":[114],"also":[116],"shown":[117,149],"how":[118],"probabilities":[121],"can":[122],"be":[123],"exploited":[124],"form":[127],"entropy-based":[129],"active-learning":[130],"determine":[132],"most":[134],"useful":[135],"additional":[136],"acquire.":[139],"Experimental":[140],"proposed":[144],"framework":[147],"on":[150],"large":[152],"set":[154],"real,":[156],"SAS":[158],"spanning":[160],"more":[161],"than":[162],"2":[163],"km":[164],"(2)":[165],"seabed.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}