{"id":"https://openalex.org/W3041323777","doi":"https://doi.org/10.3390/s20143812","title":"Evaluation of the Data Quality from a Round-Robin Test of Hyperspectral Imaging Systems","display_name":"Evaluation of the Data Quality from a Round-Robin Test of Hyperspectral Imaging Systems","publication_year":2020,"publication_date":"2020-07-08","ids":{"openalex":"https://openalex.org/W3041323777","doi":"https://doi.org/10.3390/s20143812","mag":"3041323777","pmid":"https://pubmed.ncbi.nlm.nih.gov/32650457"},"language":"en","primary_location":{"id":"doi:10.3390/s20143812","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20143812","pdf_url":"https://www.mdpi.com/1424-8220/20/14/3812/pdf?version=1594204454","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/20/14/3812/pdf?version=1594204454","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076628430","display_name":"Ruven Pillay","orcid":"https://orcid.org/0000-0001-5398-1365"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]},{"id":"https://openalex.org/I4210117133","display_name":"Centre de recherche et de restauration des mus\u00e9es de France","ror":"https://ror.org/02egw5x81","country_code":"FR","type":"archive","lineage":["https://openalex.org/I4210117133"]},{"id":"https://openalex.org/I4210156960","display_name":"Louvre","ror":"https://ror.org/05k441034","country_code":"FR","type":"archive","lineage":["https://openalex.org/I4210156960"]}],"countries":["FR","NO"],"is_corresponding":true,"raw_author_name":"Ruven Pillay","raw_affiliation_strings":["C2RMF-Centre de Restauration et Recherche des Mus\u00e9es de France, Porte des Lions-Palais du Louvre, 75001 Paris, France","NTNU-Norwegian University of Science and Technology, Department of Computer Science, Teknologivegen 22, N-2815 Gj\u00f8vik, Norway"],"raw_orcid":"https://orcid.org/0000-0001-5398-1365","affiliations":[{"raw_affiliation_string":"C2RMF-Centre de Restauration et Recherche des Mus\u00e9es de France, Porte des Lions-Palais du Louvre, 75001 Paris, France","institution_ids":["https://openalex.org/I4210117133","https://openalex.org/I4210156960"]},{"raw_affiliation_string":"NTNU-Norwegian University of Science and Technology, Department of Computer Science, Teknologivegen 22, N-2815 Gj\u00f8vik, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024724427","display_name":"Marcello Picollo","orcid":"https://orcid.org/0000-0003-1012-6048"},"institutions":[{"id":"https://openalex.org/I4210092323","display_name":"Nello Carrara Institute of Applied Physics","ror":"https://ror.org/00dqega85","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210092323","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marcello Picollo","raw_affiliation_strings":["IFAC-CNR-Istituto di Fisica Applicata \u201cNello Carrara\u201d del Consiglio Nazionale delle Ricerche, Via Madonna del Piano 10, 50019 Firenze, Italy","IFAC-CNR-Istituto di Fisica Applicata \"Nello Carrara\" del Consiglio Nazionale delle Ricerche, Via Madonna del Piano 10, 50019 Firenze, Italy"],"raw_orcid":"https://orcid.org/0000-0003-1012-6048","affiliations":[{"raw_affiliation_string":"IFAC-CNR-Istituto di Fisica Applicata \u201cNello Carrara\u201d del Consiglio Nazionale delle Ricerche, Via Madonna del Piano 10, 50019 Firenze, Italy","institution_ids":["https://openalex.org/I4210092323"]},{"raw_affiliation_string":"IFAC-CNR-Istituto di Fisica Applicata \"Nello Carrara\" del Consiglio Nazionale delle Ricerche, Via Madonna del Piano 10, 50019 Firenze, Italy","institution_ids":["https://openalex.org/I4210092323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088139921","display_name":"Jon Yngve Hardeberg","orcid":"https://orcid.org/0000-0003-1150-2498"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Jon Yngve Hardeberg","raw_affiliation_strings":["NTNU-Norwegian University of Science and Technology, Department of Computer Science, Teknologivegen 22, N-2815 Gj\u00f8vik, Norway"],"raw_orcid":"https://orcid.org/0000-0003-1150-2498","affiliations":[{"raw_affiliation_string":"NTNU-Norwegian University of Science and Technology, Department of Computer Science, Teknologivegen 22, N-2815 Gj\u00f8vik, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102024095","display_name":"Sony George","orcid":"https://orcid.org/0000-0001-8436-3164"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Sony George","raw_affiliation_strings":["NTNU-Norwegian University of Science and Technology, Department of Computer Science, Teknologivegen 22, N-2815 Gj\u00f8vik, Norway"],"raw_orcid":"https://orcid.org/0000-0001-8436-3164","affiliations":[{"raw_affiliation_string":"NTNU-Norwegian University of Science and Technology, Department of Computer Science, Teknologivegen 22, N-2815 Gj\u00f8vik, Norway","institution_ids":["https://openalex.org/I204778367"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076628430"],"corresponding_institution_ids":["https://openalex.org/I204778367","https://openalex.org/I4210117133","https://openalex.org/I4210156960"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.3825,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.67809845,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"20","issue":"14","first_page":"3812","last_page":"3812"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9986000061035156,"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":0.9986000061035156,"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/T11212","display_name":"Cultural Heritage Materials Analysis","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9843999743461609,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9693688750267029},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.7624440789222717},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6267383098602295},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.59747713804245},{"id":"https://openalex.org/keywords/colorimetry","display_name":"Colorimetry","score":0.5470255017280579},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5168883800506592},{"id":"https://openalex.org/keywords/spectral-imaging","display_name":"Spectral imaging","score":0.48935097455978394},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.47983428835868835},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.43079546093940735},{"id":"https://openalex.org/keywords/scanner","display_name":"Scanner","score":0.4295899271965027},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42467689514160156},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.41135865449905396},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3504880666732788},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13454920053482056},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1344473958015442},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10056287050247192}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9693688750267029},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.7624440789222717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6267383098602295},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.59747713804245},{"id":"https://openalex.org/C64299311","wikidata":"https://www.wikidata.org/wiki/Q374535","display_name":"Colorimetry","level":2,"score":0.5470255017280579},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5168883800506592},{"id":"https://openalex.org/C3232514","wikidata":"https://www.wikidata.org/wiki/Q7575196","display_name":"Spectral imaging","level":2,"score":0.48935097455978394},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.47983428835868835},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.43079546093940735},{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.4295899271965027},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42467689514160156},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.41135865449905396},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3504880666732788},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13454920053482056},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1344473958015442},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10056287050247192},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/s20143812","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20143812","pdf_url":"https://www.mdpi.com/1424-8220/20/14/3812/pdf?version=1594204454","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:32650457","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32650457","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:1eb1ac7e067f4a5bbbe0538d91ef2069","is_oa":true,"landing_page_url":"https://doaj.org/article/1eb1ac7e067f4a5bbbe0538d91ef2069","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 20, Iss 14, p 3812 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/14/3812/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s20143812","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"},{"id":"pmh:oai:ntnuopen.ntnu.no:11250/3043506","is_oa":true,"landing_page_url":"https://hdl.handle.net/11250/3043506","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"1-26","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7412150","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7412150","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s20143812","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20143812","pdf_url":"https://www.mdpi.com/1424-8220/20/14/3812/pdf?version=1594204454","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3041323777.pdf","grobid_xml":"https://content.openalex.org/works/W3041323777.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W88469653","https://openalex.org/W138005045","https://openalex.org/W1966379566","https://openalex.org/W1967373413","https://openalex.org/W1977066218","https://openalex.org/W1988386267","https://openalex.org/W2009539575","https://openalex.org/W2010319424","https://openalex.org/W2013482901","https://openalex.org/W2021838033","https://openalex.org/W2022228726","https://openalex.org/W2024277145","https://openalex.org/W2106772027","https://openalex.org/W2107552587","https://openalex.org/W2127495569","https://openalex.org/W2150969685","https://openalex.org/W2161815745","https://openalex.org/W2179014127","https://openalex.org/W2331480585","https://openalex.org/W2500876844","https://openalex.org/W2754394047","https://openalex.org/W2778166749","https://openalex.org/W2916485657","https://openalex.org/W3099871877","https://openalex.org/W4234549270","https://openalex.org/W4285719527","https://openalex.org/W4289073628","https://openalex.org/W4377836751"],"related_works":["https://openalex.org/W2050790932","https://openalex.org/W2348087335","https://openalex.org/W4246238787","https://openalex.org/W4386427838","https://openalex.org/W2403849324","https://openalex.org/W2079319869","https://openalex.org/W2038075255","https://openalex.org/W2093019223","https://openalex.org/W3047444742","https://openalex.org/W3035510385"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"the":[3,33,58,64,101,110,117,126,149,156],"results":[4,120],"from":[5,22,32,93],"a":[6,47,76,82,122],"round-robin":[7],"test":[8,72],"of":[9,50,75,81,100,109,116,131,145,161],"hyperspectral":[10,20,132],"imaging":[11,133],"systems":[12,21],"are":[13],"presented":[14],"and":[15,37,61,80,98,113,129,143,158,175],"analyzed.":[16],"Fourteen":[17],"different":[18,24],"pushbroom":[19],"eight":[23],"institutions":[25],"were":[26],"used":[27,44,136,165],"to":[28,45],"acquire":[29,46],"spectral":[30,77,170],"cubes":[31],"visible,":[34],"near":[35],"infra-red":[36,39],"short-wave":[38],"regions.":[40],"Each":[41],"system":[42],"was":[43,104],"common":[48],"set":[49],"targets":[51,73],"under":[52,137],"their":[53],"normal":[54],"operating":[55,139],"conditions":[56],"with":[57,106],"data":[59,103,150],"calibrated":[60],"processed":[62],"using":[63],"standard":[65,79],"processing":[66],"pipeline":[67],"for":[68,166],"each":[69],"system.":[70],"The":[71,96,119,141],"consisted":[74],"wavelength":[78],"custom-made":[83],"pigment":[84],"panel":[85],"featuring":[86],"Renaissance-era":[87],"pigments":[88],"frequently":[89],"found":[90,147],"in":[91],"paintings":[92],"that":[94],"period.":[95],"quality":[97],"accuracy":[99,115],"resulting":[102],"assessed":[105],"quantitative":[107],"analyses":[108],"spectral,":[111],"spatial":[112],"colorimetric":[114],"data.":[118],"provide":[121,152],"valuable":[123],"insight":[124],"into":[125],"accuracy,":[127],"reproducibility":[128],"precision":[130],"equipment":[134,163],"when":[135,164],"routine":[138],"conditions.":[140],"distribution":[142],"type":[144],"error":[146],"within":[148],"can":[151],"useful":[153],"information":[154],"on":[155],"fundamental":[157],"practical":[159],"limits":[160],"such":[162,168],"applications":[167],"as":[169],"classification,":[171],"change":[172],"detection,":[173],"colorimetry":[174],"others.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}