{"id":"https://openalex.org/W2954129809","doi":"https://doi.org/10.1109/whispers.2018.8747244","title":"3D and snapshot hyperspectral cameras based on continuously variable filters","display_name":"3D and snapshot hyperspectral cameras based on continuously variable filters","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2954129809","doi":"https://doi.org/10.1109/whispers.2018.8747244","mag":"2954129809"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2018.8747244","doi":"https://doi.org/10.1109/whispers.2018.8747244","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2018.8747244","pdf_url":null,"source":{"id":"https://openalex.org/S4306421250","display_name":"Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5038466995","display_name":"Oliver Pust","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210131550","display_name":"Delta (Denmark)","ror":"https://ror.org/03whc3s66","country_code":"DK","type":"company","lineage":["https://openalex.org/I4210087957","https://openalex.org/I4210131550"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"O. Pust","raw_affiliation_strings":["Delta Optical Thin Film A/S, Venlighedsvej 4, H\u00f8rsholm, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delta Optical Thin Film A/S, Venlighedsvej 4, H\u00f8rsholm, Denmark","institution_ids":["https://openalex.org/I4210131550"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009449060","display_name":"Henrik Fabricius","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210131550","display_name":"Delta (Denmark)","ror":"https://ror.org/03whc3s66","country_code":"DK","type":"company","lineage":["https://openalex.org/I4210087957","https://openalex.org/I4210131550"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"H. Fabricius","raw_affiliation_strings":["Delta Optical Thin Film A/S, Venlighedsvej 4, H\u00f8rsholm, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delta Optical Thin Film A/S, Venlighedsvej 4, H\u00f8rsholm, Denmark","institution_ids":["https://openalex.org/I4210131550"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210131550"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.23227873,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"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":0.35690000653266907,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.35690000653266907,"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/T12050","display_name":"Optical Polarization and Ellipsometry","score":0.07500000298023224,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.06260000169277191,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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":0.9950000047683716},{"id":"https://openalex.org/keywords/single-shot-imaging","display_name":"single-shot imaging","score":0.5320000052452087},{"id":"https://openalex.org/keywords/3d-imaging","display_name":"3D imaging","score":0.9319999814033508},{"id":"https://openalex.org/keywords/spectral-camera","display_name":"spectral camera","score":0.6200000047683716},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"spectral bands","score":0.7990000247955322},{"id":"https://openalex.org/keywords/multispectral-imaging","display_name":"multispectral imaging","score":0.6589999794960022},{"id":"https://openalex.org/keywords/near-infrared-imaging","display_name":"near-infrared imaging","score":0.7179999947547913}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9842046499252319},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.7391665577888489},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.6127129793167114},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.611089825630188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6101047992706299},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5091378092765808},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5057141780853271},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5026791095733643},{"id":"https://openalex.org/C3232514","wikidata":"https://www.wikidata.org/wiki/Q7575196","display_name":"Spectral imaging","level":2,"score":0.4801349341869354},{"id":"https://openalex.org/C65597285","wikidata":"https://www.wikidata.org/wiki/Q5090469","display_name":"Chemical imaging","level":3,"score":0.42366060614585876},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19902080297470093},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2018.8747244","doi":"https://doi.org/10.1109/whispers.2018.8747244","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2018.8747244","pdf_url":null,"source":{"id":"https://openalex.org/S4306421250","display_name":"Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2058549613","https://openalex.org/W2065426452","https://openalex.org/W2550201245","https://openalex.org/W2611609795","https://openalex.org/W2793395715"],"related_works":["https://openalex.org/W2330919360","https://openalex.org/W3215771597","https://openalex.org/W4238372079","https://openalex.org/W6922858373","https://openalex.org/W2157756153","https://openalex.org/W7096076658","https://openalex.org/W2607863758","https://openalex.org/W4414151553","https://openalex.org/W3084567237","https://openalex.org/W7163038362"],"abstract_inverted_index":{"Hyperspectral":[0],"imaging":[1],"(HSI)":[2],"has":[3],"been":[4],"used":[5],"for":[6,55],"a":[7,60],"couple":[8],"of":[9,32,59],"decades":[10],"in":[11],"applications":[12],"such":[13],"as":[14],"satellite":[15],"imaging,":[16],"air":[17],"reconnaissance":[18],"and":[19],"other":[20],"not":[21,72],"overly":[22],"price":[23],"sensitive":[24],"markets.":[25],"Still,":[26],"there":[27],"is":[28,71],"no":[29],"clear":[30],"definition":[31],"the":[33,46],"term":[34],"hyperspectral":[35],"imaging.":[36],"Sometimes":[37],"techniques":[38],"that":[39],"produce":[40],"2D":[41],"images":[42],"with":[43],"more":[44],"than":[45,87],"typical":[47],"three":[48],"RGB":[49],"colours":[50],"(or":[51],"spectral":[52,78],"channels)":[53],"-":[54,63],"example":[56],"by":[57],"inclusion":[58],"near-infrared":[61],"channel":[62],"are":[64,80],"already":[65],"called":[66,84],"hyperspectral.":[67,88],"Mostly":[68],"though,":[69],"this":[70],"considered":[73],"sufficient.":[74],"Typically,":[75],"even":[76],"ten":[77],"channels":[79],"still":[81],"to":[82],"be":[83],"multi-spectral":[85],"rather":[86]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2019-07-12T00:00:00"}
