{"id":"https://openalex.org/W2167030892","doi":"https://doi.org/10.1109/whispers.2009.5289035","title":"Feature-aided tracking via synthetic hyperspectral imagery","display_name":"Feature-aided tracking via synthetic hyperspectral imagery","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W2167030892","doi":"https://doi.org/10.1109/whispers.2009.5289035","mag":"2167030892"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2009.5289035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2009.5289035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","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/A5112253382","display_name":"Andrew Rice","orcid":"https://orcid.org/0000-0002-4677-8032"},"institutions":[{"id":"https://openalex.org/I4210116770","display_name":"Numerica Corporation (United States)","ror":"https://ror.org/01j5et233","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116770"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Rice","raw_affiliation_strings":["Numerica Corporation, 2661 Commons Blvd., Beavercreek, Ohio 45431, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Numerica Corporation, 2661 Commons Blvd., Beavercreek, Ohio 45431, USA","institution_ids":["https://openalex.org/I4210116770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041763410","display_name":"Juan A. V\u00e1squez-Peralvo","orcid":"https://orcid.org/0000-0001-7304-095X"},"institutions":[{"id":"https://openalex.org/I4210116770","display_name":"Numerica Corporation (United States)","ror":"https://ror.org/01j5et233","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116770"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Vasquez","raw_affiliation_strings":["Numerica Corporation, 2661 Commons Blvd., Beavercreek, Ohio 45431, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Numerica Corporation, 2661 Commons Blvd., Beavercreek, Ohio 45431, USA","institution_ids":["https://openalex.org/I4210116770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111979976","display_name":"Michael J. Mendenhall","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116770","display_name":"Numerica Corporation (United States)","ror":"https://ror.org/01j5et233","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116770"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Mendenhall","raw_affiliation_strings":["Numerica Corporation, 2661 Commons Blvd., Beavercreek, Ohio 45431, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Numerica Corporation, 2661 Commons Blvd., Beavercreek, Ohio 45431, USA","institution_ids":["https://openalex.org/I4210116770"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040385195","display_name":"John P. Kerekes","orcid":"https://orcid.org/0000-0002-0754-8170"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Kerekes","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5416,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83226267,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9980999827384949,"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":0.9980999827384949,"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":0.9918000102043152,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9793999791145325,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7916904091835022},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7130284309387207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7048129439353943},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6728212237358093},{"id":"https://openalex.org/keywords/liquid-crystal-tunable-filter","display_name":"Liquid crystal tunable filter","score":0.6210030317306519},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4736025333404541},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.47186464071273804}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7916904091835022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7130284309387207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7048129439353943},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6728212237358093},{"id":"https://openalex.org/C182183295","wikidata":"https://www.wikidata.org/wiki/Q6557432","display_name":"Liquid crystal tunable filter","level":3,"score":0.6210030317306519},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4736025333404541},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.47186464071273804},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C49040817","wikidata":"https://www.wikidata.org/wiki/Q193091","display_name":"Optoelectronics","level":1,"score":0.0},{"id":"https://openalex.org/C6260449","wikidata":"https://www.wikidata.org/wiki/Q41364","display_name":"Wavelength","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2009.5289035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2009.5289035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1663421356","https://openalex.org/W2058130919","https://openalex.org/W4388375774"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W2062712574","https://openalex.org/W2773589087","https://openalex.org/W2167625949","https://openalex.org/W2986472635","https://openalex.org/W2059191372","https://openalex.org/W342599944","https://openalex.org/W4245858792"],"abstract_inverted_index":{"Hyperspectral":[0],"imaging":[1],"(HSI)":[2],"feature-aided":[3],"tracking":[4],"(FAT)":[5],"is":[6],"an":[7],"emerging":[8,82],"area":[9],"of":[10,34,66,91,111],"research,":[11],"employing":[12],"HSI":[13,46,49],"instruments":[14],"and":[15,28,44,107,131],"exploitation":[16],"techniques":[17],"with":[18,42,63],"the":[19,53,112],"goal":[20],"to":[21,39,56],"track":[22],"moving":[23],"objects":[24],"within":[25],"challenging":[26],"environments":[27],"across":[29],"frequent":[30],"ambiguities.":[31],"A":[32,89],"series":[33],"studies":[35],"have":[36,51,60,95],"been":[37,52,61,96],"conducted":[38],"demonstrate":[40],"HSI-FAT":[41],"contemporary":[43],"novel":[45],"instruments.":[47],"Synthesized":[48],"data":[50],"key":[54],"enabler":[55],"this":[57],"effort.":[58],"Capabilities":[59],"evaluated":[62],"synthetic":[64,93,104],"models":[65],"low-cost,":[67],"off-the-shelf":[68],"sensors":[69],"such":[70,85],"as":[71,78,80,86],"a":[72],"video-rate":[73],"liquid":[74],"crystal":[75],"tunable":[76],"filter,":[77],"well":[79],"sophisticated":[81],"sensor":[83,114,133],"concepts":[84],"microelectromechanical-adapted":[87],"systems.":[88],"suite":[90],"end-to-end":[92],"experiments":[94],"conducted,":[97],"which":[98],"include":[99],"high-fidelity":[100],"moving-target":[101],"urban":[102],"vignettes,":[103],"hyperspectral":[105],"rendering,":[106],"full":[108],"image-chain":[109],"treatment":[110],"various":[113],"models.":[115],"Corresponding":[116],"algorithm":[117],"development":[118],"has":[119],"focused":[120],"on":[121],"motion":[122],"segmentation,":[123],"spectral":[124],"feature":[125],"modeling,":[126],"classification,":[127],"fused":[128],"kinematic/spectral":[129],"association,":[130],"adaptive":[132],"feedback/":[134],"control.":[135]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
