{"id":"https://openalex.org/W3015959610","doi":"https://doi.org/10.1109/tgrs.2020.2982586","title":"An Extremely Pipelined FPGA Implementation of a Lossy Hyperspectral Image Compression Algorithm","display_name":"An Extremely Pipelined FPGA Implementation of a Lossy Hyperspectral Image Compression Algorithm","publication_year":2020,"publication_date":"2020-04-07","ids":{"openalex":"https://openalex.org/W3015959610","doi":"https://doi.org/10.1109/tgrs.2020.2982586","mag":"3015959610"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.2982586","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.2982586","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-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/A5034164223","display_name":"Daniel B\u00e1scones","orcid":"https://orcid.org/0000-0001-6620-782X"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Daniel Bascones","raw_affiliation_strings":["Department of Computer Architecture and Automatics, Universidad Complutense de Madrid, Madrid, Spain"],"raw_orcid":"https://orcid.org/0000-0001-6620-782X","affiliations":[{"raw_affiliation_string":"Department of Computer Architecture and Automatics, Universidad Complutense de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034310981","display_name":"Carlos Gonz\u00e1lez","orcid":"https://orcid.org/0000-0002-6826-2600"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Carlos Gonzalez","raw_affiliation_strings":["Department of Computer Architecture and Automatics, Universidad Complutense de Madrid, Madrid, Spain","Instituto de tecnolog\u00eda del conocimiento, Universidad Complutense de Madrid, Madrid, Spain"],"raw_orcid":"https://orcid.org/0000-0002-6826-2600","affiliations":[{"raw_affiliation_string":"Department of Computer Architecture and Automatics, Universidad Complutense de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]},{"raw_affiliation_string":"Instituto de tecnolog\u00eda del conocimiento, Universidad Complutense de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006165301","display_name":"Daniel Mozos","orcid":"https://orcid.org/0000-0003-1867-3310"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Daniel Mozos","raw_affiliation_strings":["Department of Computer Architecture and Automatics, Universidad Complutense de Madrid, Madrid, Spain","Instituto de tecnolog\u00eda del conocimiento, Universidad Complutense de Madrid, Madrid, Spain"],"raw_orcid":"https://orcid.org/0000-0003-1867-3310","affiliations":[{"raw_affiliation_string":"Department of Computer Architecture and Automatics, Universidad Complutense de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]},{"raw_affiliation_string":"Instituto de tecnolog\u00eda del conocimiento, Universidad Complutense de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I121748325"],"apc_list":null,"apc_paid":null,"fwci":1.4375,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.84088388,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"58","issue":"10","first_page":"7435","last_page":"7447"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9973999857902527,"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"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.8407732844352722},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.8197920322418213},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.6749024391174316},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6658176779747009},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.6193429231643677},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5808752179145813},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5769933462142944},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5567542910575867},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5417121648788452},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4780636131763458},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4539317190647125},{"id":"https://openalex.org/keywords/virtex","display_name":"Virtex","score":0.4412238895893097},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3491935133934021},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.26967930793762207},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21225228905677795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13305532932281494}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8407732844352722},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.8197920322418213},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.6749024391174316},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6658176779747009},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.6193429231643677},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5808752179145813},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5769933462142944},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5567542910575867},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5417121648788452},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4780636131763458},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4539317190647125},{"id":"https://openalex.org/C2777674469","wikidata":"https://www.wikidata.org/wiki/Q20741011","display_name":"Virtex","level":3,"score":0.4412238895893097},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3491935133934021},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26967930793762207},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21225228905677795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13305532932281494},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2020.2982586","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.2982586","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7308758823","display_name":null,"funder_award_id":"TIN2017-87237-P","funder_id":"https://openalex.org/F4320321837","funder_display_name":"Ministerio de Econom\u00eda y Competitividad"}],"funders":[{"id":"https://openalex.org/F4320321837","display_name":"Ministerio de Econom\u00eda y Competitividad","ror":"https://ror.org/034900433"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W158805393","https://openalex.org/W592146121","https://openalex.org/W788498898","https://openalex.org/W1580101844","https://openalex.org/W1971356997","https://openalex.org/W2008847349","https://openalex.org/W2019032532","https://openalex.org/W2060200379","https://openalex.org/W2082285585","https://openalex.org/W2104573227","https://openalex.org/W2115613939","https://openalex.org/W2127308700","https://openalex.org/W2128777897","https://openalex.org/W2131314139","https://openalex.org/W2142950071","https://openalex.org/W2154910284","https://openalex.org/W2164453447","https://openalex.org/W2164790787","https://openalex.org/W2329053551","https://openalex.org/W2342726912","https://openalex.org/W2506684654","https://openalex.org/W2622884135","https://openalex.org/W2765771861","https://openalex.org/W2769372752","https://openalex.org/W2782517596","https://openalex.org/W2791257483","https://openalex.org/W2807355972","https://openalex.org/W2824505125","https://openalex.org/W2901606346","https://openalex.org/W2923813399","https://openalex.org/W2963841640","https://openalex.org/W6765563404"],"related_works":["https://openalex.org/W3210332869","https://openalex.org/W2547124190","https://openalex.org/W4210785996","https://openalex.org/W4327499886","https://openalex.org/W2385628723","https://openalex.org/W4313046148","https://openalex.org/W3180760233","https://openalex.org/W2096442341","https://openalex.org/W4210455546","https://openalex.org/W3080614128"],"abstract_inverted_index":{"Segmented":[0],"and":[1,80],"pipelined":[2,148],"execution":[3],"has":[4],"been":[5],"a":[6,40,55,109,112,120,127,146],"staple":[7],"of":[8,54,71,73,115,122,155],"computing":[9],"for":[10,103,119,152],"the":[11,23,85,139],"past":[12],"decades.":[13],"Operations":[14],"over":[15,66,92,116,123],"different":[16,89],"values":[17],"can":[18,45,63,76],"be":[19,46,64],"carried":[20],"out":[21],"at":[22],"same":[24],"time":[25],"speeding":[26],"up":[27],"computations.":[28],"Hyperspectral":[29],"image":[30],"compression":[31,60,156],"sequentially":[32],"processes":[33],"samples,":[34],"exploiting":[35],"local":[36],"redundancies":[37],"to":[38,84],"generate":[39],"predictable":[41],"data":[42],"stream":[43],"that":[44,145],"compressed.":[47],"In":[48],"this":[49],"article,":[50],"we":[51],"take":[52],"advantage":[53],"low":[56],"complexity":[57],"predictive":[58],"lossy":[59],"algorithm":[61],"which":[62],"executed":[65],"an":[67],"extremely":[68],"long":[69],"pipeline":[70],"hundreds":[72],"stages.":[74],"We":[75],"avoid":[77],"most":[78],"stalls":[79],"maintain":[81],"throughput":[82,121],"close":[83],"theoretical":[86],"maximum.":[87],"The":[88],"steps":[90],"operate":[91],"integers":[93],"with":[94,126],"simple":[95],"arithmetic":[96],"operations,":[97],"so":[98],"they":[99],"are":[100],"especially":[101],"well-suited":[102],"our":[104],"FPGA":[105,141],"implementation.":[106],"Results":[107],"on":[108],"Virtex-7":[110],"show":[111],"maximum":[113],"frequency":[114],"300":[117],"MHz":[118],"290":[124],"MB/s,":[125],"space-qualified":[128],"Virtex-5":[129],"reaching":[130],"258":[131],"MHz,":[132],"being":[133],"five":[134],"times":[135],"as":[136,138],"fast":[137],"previous":[140],"designs.":[142],"This":[143],"shows":[144],"modular":[147],"approach":[149],"is":[150],"beneficial":[151],"these":[153],"kinds":[154],"algorithms.":[157]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}