{"id":"https://openalex.org/W4310260446","doi":"https://doi.org/10.1109/whispers56178.2022.9955088","title":"Hyde: The First Open-Source, Python-Based, Gpu-Accelerated Hyperspectral Denoising Package","display_name":"Hyde: The First Open-Source, Python-Based, Gpu-Accelerated Hyperspectral Denoising Package","publication_year":2022,"publication_date":"2022-09-13","ids":{"openalex":"https://openalex.org/W4310260446","doi":"https://doi.org/10.1109/whispers56178.2022.9955088"},"language":"en","primary_location":{"id":"doi:10.1109/whispers56178.2022.9955088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers56178.2022.9955088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5445/ir/1000153063","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076509535","display_name":"Daniel Coquelin","orcid":"https://orcid.org/0000-0001-8552-5153"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel Coquelin","raw_affiliation_strings":["Helmholtz AI","Karlsruhe Institute of Technology (KIT)Hermann-von-Helmholtz-Platz, Eggenstein-Leopoldshafen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Helmholtz AI","institution_ids":[]},{"raw_affiliation_string":"Karlsruhe Institute of Technology (KIT)Hermann-von-Helmholtz-Platz, Eggenstein-Leopoldshafen, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042657950","display_name":"Behnood Rasti","orcid":"https://orcid.org/0000-0002-1091-9841"},"institutions":[{"id":"https://openalex.org/I2801798921","display_name":"Helmholtz-Zentrum Dresden-Rossendorf","ror":"https://ror.org/01zy2cs03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801798921"]},{"id":"https://openalex.org/I4210148560","display_name":"Helmholtz Institute Freiberg for Resource Technology","ror":"https://ror.org/04kdb0j04","country_code":"DE","type":"government","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801798921","https://openalex.org/I4210148560"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Behnood Rasti","raw_affiliation_strings":["Helmholtz Institute Freiberg for Resource Technology Chemnitzer Str. 40,Helmholtz-Zentrum Dresden-Rossendorf (HZDR),Freiberg,Germany,D-09599"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Helmholtz Institute Freiberg for Resource Technology Chemnitzer Str. 40,Helmholtz-Zentrum Dresden-Rossendorf (HZDR),Freiberg,Germany,D-09599","institution_ids":["https://openalex.org/I2801798921","https://openalex.org/I4210148560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067996051","display_name":"Markus G\u00f6tz","orcid":"https://orcid.org/0000-0002-2233-1041"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus Gotz","raw_affiliation_strings":["Helmholtz AI","Karlsruhe Institute of Technology (KIT)Hermann-von-Helmholtz-Platz, Eggenstein-Leopoldshafen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Helmholtz AI","institution_ids":[]},{"raw_affiliation_string":"Karlsruhe Institute of Technology (KIT)Hermann-von-Helmholtz-Platz, Eggenstein-Leopoldshafen, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074919292","display_name":"Pedram Ghamisi","orcid":"https://orcid.org/0000-0003-1203-741X"},"institutions":[{"id":"https://openalex.org/I2801798921","display_name":"Helmholtz-Zentrum Dresden-Rossendorf","ror":"https://ror.org/01zy2cs03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801798921"]},{"id":"https://openalex.org/I4210148560","display_name":"Helmholtz Institute Freiberg for Resource Technology","ror":"https://ror.org/04kdb0j04","country_code":"DE","type":"government","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801798921","https://openalex.org/I4210148560"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Pedram Ghamisi","raw_affiliation_strings":["Helmholtz Institute Freiberg for Resource Technology Chemnitzer Str. 40,Helmholtz-Zentrum Dresden-Rossendorf (HZDR),Freiberg,Germany,D-09599"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Helmholtz Institute Freiberg for Resource Technology Chemnitzer Str. 40,Helmholtz-Zentrum Dresden-Rossendorf (HZDR),Freiberg,Germany,D-09599","institution_ids":["https://openalex.org/I2801798921","https://openalex.org/I4210148560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067490750","display_name":"Richard Gloaguen","orcid":"https://orcid.org/0000-0002-4383-473X"},"institutions":[{"id":"https://openalex.org/I2801798921","display_name":"Helmholtz-Zentrum Dresden-Rossendorf","ror":"https://ror.org/01zy2cs03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801798921"]},{"id":"https://openalex.org/I4210148560","display_name":"Helmholtz Institute Freiberg for Resource Technology","ror":"https://ror.org/04kdb0j04","country_code":"DE","type":"government","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801798921","https://openalex.org/I4210148560"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Richard Gloaguen","raw_affiliation_strings":["Helmholtz Institute Freiberg for Resource Technology Chemnitzer Str. 40,Helmholtz-Zentrum Dresden-Rossendorf (HZDR),Freiberg,Germany,D-09599"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Helmholtz Institute Freiberg for Resource Technology Chemnitzer Str. 40,Helmholtz-Zentrum Dresden-Rossendorf (HZDR),Freiberg,Germany,D-09599","institution_ids":["https://openalex.org/I2801798921","https://openalex.org/I4210148560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030034618","display_name":"Achim Streit","orcid":"https://orcid.org/0000-0002-5065-469X"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Achim Streit","raw_affiliation_strings":["Karlsruhe Institute of Technology (KIT)Hermann-von-Helmholtz-Platz,Eggenstein-Leopoldshafen,Germany,1 76344"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology (KIT)Hermann-von-Helmholtz-Platz,Eggenstein-Leopoldshafen,Germany,1 76344","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994000196456909,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994000196456909,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9901999831199646,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9890000224113464,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8308467864990234},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.8231498003005981},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6997088193893433},{"id":"https://openalex.org/keywords/open-source","display_name":"Open source","score":0.6142401099205017},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.510068953037262},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.44914156198501587},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4412890076637268},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4014833867549896},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.38556963205337524},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.19271942973136902},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.11979594826698303},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09240958094596863}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8308467864990234},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.8231498003005981},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6997088193893433},{"id":"https://openalex.org/C3018397939","wikidata":"https://www.wikidata.org/wiki/Q3644502","display_name":"Open source","level":3,"score":0.6142401099205017},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.510068953037262},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.44914156198501587},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4412890076637268},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4014833867549896},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.38556963205337524},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.19271942973136902},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.11979594826698303},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09240958094596863}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/whispers56178.2022.9955088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers56178.2022.9955088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"},{"id":"pmh:oai:EVASTAR-Karlsruhe.de:1000153063","is_oa":false,"landing_page_url":"https://publikationen.bibliothek.kit.edu/1000153063","pdf_url":null,"source":{"id":"https://openalex.org/S4306401992","display_name":"Repository KITopen (Karlsruhe Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102335020","host_organization_name":"Karlsruhe Institute of Technology","host_organization_lineage":["https://openalex.org/I102335020"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"doc-type:conferenceObject"},{"id":"doi:10.5445/ir/1000153063","is_oa":true,"landing_page_url":"https://doi.org/10.5445/ir/1000153063","pdf_url":null,"source":{"id":"https://openalex.org/S7407052948","display_name":"KITopen","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.5445/ir/1000153063","is_oa":true,"landing_page_url":"https://doi.org/10.5445/ir/1000153063","pdf_url":null,"source":{"id":"https://openalex.org/S7407052948","display_name":"KITopen","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1974933922","https://openalex.org/W2056370875","https://openalex.org/W2070424424","https://openalex.org/W2496621835","https://openalex.org/W2520430674","https://openalex.org/W2765774669","https://openalex.org/W2767511704","https://openalex.org/W2790888198","https://openalex.org/W2806155925","https://openalex.org/W2960360058","https://openalex.org/W2964125708","https://openalex.org/W2965571038","https://openalex.org/W3003257820","https://openalex.org/W3012136461","https://openalex.org/W3013064625","https://openalex.org/W3035965352","https://openalex.org/W3098435832","https://openalex.org/W3099878876","https://openalex.org/W3206079748","https://openalex.org/W3211474784","https://openalex.org/W4295312788","https://openalex.org/W6727116172","https://openalex.org/W6766978945","https://openalex.org/W6774839060","https://openalex.org/W6797752105"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2060875994","https://openalex.org/W2027399350","https://openalex.org/W2044184146","https://openalex.org/W2557718140","https://openalex.org/W67092138","https://openalex.org/W4225687299"],"abstract_inverted_index":{"As":[0],"with":[1,87,172],"any":[2],"physical":[3],"instrument,":[4],"hyperspectral":[5,25,74],"cameras":[6],"induce":[7],"different":[8],"kinds":[9],"of":[10,85,95,114,120],"noise":[11],"in":[12],"the":[13,69,112,118,121,161,182],"acquired":[14],"data.":[15],"Therefore,":[16],"Hyperspectral":[17],"denoising":[18,76,131,153,170],"is":[19],"a":[20,82,93,147,187],"crucial":[21],"step":[22],"for":[23,57,62,149,152,169],"analyzing":[24],"images":[26],"(HSIs).":[27],"Conventional":[28],"computational":[29],"methods":[30,45,86,96,101,116,127],"rarely":[31],"use":[32,50],"GPUs":[33],"to":[34,80,102,133,160,191],"improve":[35],"efficiency":[36],"and":[37,49,55,117,178],"are":[38,46,156],"not":[39,157],"fully":[40],"open-source.":[41],"Alternatively,":[42],"deep":[43,103],"learning-based":[44],"often":[47],"open-source":[48],"GPUs,":[51],"but":[52],"their":[53,134],"training":[54,150,162,165],"utilization":[56],"real-world":[58],"applications":[59],"remain":[60],"non-trivial":[61],"many":[63],"researchers.":[64],"Consequently,":[65],"we":[66,145,185],"propose":[67],"HyDe:":[68],"first":[70],"open-source,":[71],"GPU-accelerated":[72],"Python-based,":[73],"image":[75],"toolbox,":[77],"which":[78,155,195],"aims":[79],"provide":[81],"large":[83],"set":[84],"an":[88],"easy-to-use":[89],"environment.":[90],"HyDe":[91],"includes":[92],"variety":[94],"ranging":[97],"from":[98],"low-rank":[99],"wavelet-based":[100],"neural":[104],"network":[105],"(DNN)":[106],"models.":[107],"HyDe\u2019s":[108],"interface":[109],"dramatically":[110],"improves":[111],"interoperability":[113],"these":[115,126],"performance":[119,132],"underlying":[122],"functions.":[123],"In":[124],"fact,":[125],"maintain":[128],"similar":[129],"HSI":[130],"original":[135],"implementations":[136],"while":[137],"consuming":[138],"nearly":[139],"ten":[140],"times":[141],"less":[142],"energy.":[143],"Furthermore,":[144],"present":[146],"method":[148,190],"DNNs":[151],"HSIs":[154,168,171,194],"spatially":[158],"related":[159],"dataset,":[163],"i.e.,":[164],"on":[166],"ground-level":[167],"other":[173],"perspectives":[174],"including":[175],"airborne,":[176],"drone-borne,":[177],"space-borne.":[179],"To":[180],"utilize":[181],"trained":[183],"DNNs,":[184],"show":[186],"sliding":[188],"window":[189],"effectively":[192],"denoise":[193],"would":[196],"otherwise":[197],"require":[198],"more":[199],"than":[200],"40":[201],"GB.":[202],"The":[203],"package":[204],"can":[205],"be":[206],"found":[207],"at:":[208],"https://github.com/Helmholtz-AI-Energy/HyDe.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
