{"id":"https://openalex.org/W2106011773","doi":"https://doi.org/10.1109/hpec.2013.6670331","title":"FPGA-based hyperspectral covariance coprocessor for size, weight, and power constrained platforms","display_name":"FPGA-based hyperspectral covariance coprocessor for size, weight, and power constrained platforms","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2106011773","doi":"https://doi.org/10.1109/hpec.2013.6670331","mag":"2106011773"},"language":"en","primary_location":{"id":"doi:10.1109/hpec.2013.6670331","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec.2013.6670331","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-article"},"type":"article","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/A5039013563","display_name":"David A. Kusinsky","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]},{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"David A. Kusinsky","raw_affiliation_strings":["MIT Lincoln Laboratory, Lexington, MA","MIT Lincoln Lab. Lexington, MA, USA"],"affiliations":[{"raw_affiliation_string":"MIT Lincoln Laboratory, Lexington, MA","institution_ids":["https://openalex.org/I4210122954"]},{"raw_affiliation_string":"MIT Lincoln Lab. Lexington, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083047329","display_name":"Miriam Leeser","orcid":"https://orcid.org/0000-0002-5624-056X"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Miriam E. Leeser","raw_affiliation_strings":["Northeastern University, Boston, MA","Northeastern University Boston MA USA"],"affiliations":[{"raw_affiliation_string":"Northeastern University, Boston, MA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Northeastern University Boston MA USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039013563"],"corresponding_institution_ids":["https://openalex.org/I4210122954","https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":0.4818,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72813158,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9983000159263611,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9937999844551086,"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/coprocessor","display_name":"Coprocessor","score":0.8319180607795715},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7374933958053589},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7236082553863525},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.66425621509552},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.6622059941291809},{"id":"https://openalex.org/keywords/swap","display_name":"Swap (finance)","score":0.5507676005363464},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.5222545266151428},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.4600839614868164},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.36041319370269775},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21528983116149902}],"concepts":[{"id":"https://openalex.org/C86111242","wikidata":"https://www.wikidata.org/wiki/Q859595","display_name":"Coprocessor","level":2,"score":0.8319180607795715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7374933958053589},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7236082553863525},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.66425621509552},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.6622059941291809},{"id":"https://openalex.org/C99821215","wikidata":"https://www.wikidata.org/wiki/Q1136583","display_name":"Swap (finance)","level":2,"score":0.5507676005363464},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.5222545266151428},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.4600839614868164},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36041319370269775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21528983116149902},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpec.2013.6670331","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec.2013.6670331","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W96494346","https://openalex.org/W176957146","https://openalex.org/W206402374","https://openalex.org/W580164068","https://openalex.org/W1975776590","https://openalex.org/W1979835455","https://openalex.org/W1980821828","https://openalex.org/W2002546995","https://openalex.org/W2018078977","https://openalex.org/W2061540145","https://openalex.org/W2075596229","https://openalex.org/W2106011773","https://openalex.org/W2116720609","https://openalex.org/W2118996198","https://openalex.org/W2141145499","https://openalex.org/W2151562512","https://openalex.org/W2158813739","https://openalex.org/W2545554564","https://openalex.org/W2856340699"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2057084000","https://openalex.org/W2518118925","https://openalex.org/W3159273459","https://openalex.org/W4394999","https://openalex.org/W2106011773"],"abstract_inverted_index":{"Size,":[0],"weight,":[1,47],"and":[2,26,39,48,75,103],"power":[3],"(SWaP)":[4],"are":[5,28],"important":[6],"factors":[7],"in":[8,91,121,140],"the":[9,60,83,122],"design":[10,74,96,142],"of":[11,69,85,124],"any":[12],"remote":[13,17,37,127,146],"sensing":[14,18,38,128,147],"platform.":[15],"These":[16],"platforms,":[19],"such":[20],"as":[21],"Unmanned":[22],"Air":[23],"Vehicles":[24],"(UAVs)":[25],"microsatellites,":[27],"becoming":[29],"increasingly":[30],"small.":[31],"This":[32],"creates":[33],"a":[34,87,100,116],"need":[35],"for":[36,63],"image":[40,93],"processing":[41,52],"hardware":[42,62,79,137],"that":[43,81,118],"consumes":[44],"less":[45],"area,":[46],"power,":[49],"while":[50],"delivering":[51],"performance.":[53],"It":[54],"is":[55,72,97,119],"also":[56],"advantageous":[57],"to":[58,73,99,105,143],"utilize":[59],"same":[61],"multiple":[64],"platform":[65,148],"tasks.":[66,149],"The":[67],"purpose":[68],"this":[70],"research":[71],"characterize":[76],"an":[77,107],"FPGA-based":[78],"coprocessor":[80,114],"parallelizes":[82],"calculation":[84],"covariance,":[86],"time-consuming":[88],"step":[89],"common":[90],"hyperspectral":[92],"processing.":[94],"Our":[95],"compared":[98],"CPU-based":[101],"implementation":[102],"shown":[104],"have":[106],"overall":[108],"SWaP":[109],"advantage.":[110],"We":[111],"evaluate":[112],"our":[113,141],"using":[115],"metric":[117],"useful":[120],"consideration":[123],"future":[125],"SWaP-constrained":[126],"platforms:":[129],"floating":[130],"point":[131],"operations":[132],"per":[133],"Watt-kg":[134],"(FLOPs/W-kg).":[135],"Additional":[136],"capacity":[138],"exists":[139],"implement":[144],"other":[145]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
