{"id":"https://openalex.org/W2058734149","doi":"https://doi.org/10.1117/12.908172","title":"A compact, high-speed, and low-cost hyperspectral imager","display_name":"A compact, high-speed, and low-cost hyperspectral imager","publication_year":2012,"publication_date":"2012-02-01","ids":{"openalex":"https://openalex.org/W2058734149","doi":"https://doi.org/10.1117/12.908172","mag":"2058734149"},"language":"en","primary_location":{"id":"doi:10.1117/12.908172","doi":"https://doi.org/10.1117/12.908172","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.908172","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5110041837","display_name":"Nicolaas Tack","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Nicolaas Tack","raw_affiliation_strings":["IMEC (Belgium)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IMEC (Belgium)","institution_ids":["https://openalex.org/I4210114974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081251355","display_name":"Andy Lambrechts","orcid":"https://orcid.org/0000-0001-7592-2999","observed_orcids":["https://orcid.org/0000-0001-7592-2999"]},"institutions":[{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Andy Lambrechts","raw_affiliation_strings":["IMEC (Belgium)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IMEC (Belgium)","institution_ids":["https://openalex.org/I4210114974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083011814","display_name":"Philippe Soussan","orcid":"https://orcid.org/0000-0002-1347-6978","observed_orcids":["https://orcid.org/0000-0002-1347-6978"]},"institutions":[{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Philippe Soussan","raw_affiliation_strings":["IMEC (Belgium)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IMEC (Belgium)","institution_ids":["https://openalex.org/I4210114974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010296698","display_name":"Luc Haspeslagh","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Luc Haspeslagh","raw_affiliation_strings":["IMEC (Belgium)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IMEC (Belgium)","institution_ids":["https://openalex.org/I4210114974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210114974"],"apc_list":null,"apc_paid":null,"fwci":9.724,"has_fulltext":false,"cited_by_count":118,"citation_normalized_percentile":{"value":0.99074812,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"8266","issue":null,"first_page":"82660Q","last_page":"82660Q"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9702000021934509,"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"}},"topics":[{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9702000021934509,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.004900000058114529,"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/T11637","display_name":"Advanced Semiconductor Detectors and Materials","score":0.00279999990016222,"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":0.9819999933242798},{"id":"https://openalex.org/keywords/hyperspectral-camera","display_name":"hyperspectral camera","score":0.8899999856948853},{"id":"https://openalex.org/keywords/wedge-filters","display_name":"wedge filters","score":0.9860000014305115},{"id":"https://openalex.org/keywords/cmos-image-sensor","display_name":"CMOS image sensor","score":0.9679999947547913},{"id":"https://openalex.org/keywords/low-cost-sensors","display_name":"low-cost sensors","score":0.4560000002384186},{"id":"https://openalex.org/keywords/spectral-resolution","display_name":"spectral resolution","score":0.6639999747276306},{"id":"https://openalex.org/keywords/machine-vision","display_name":"machine vision","score":0.7129999995231628},{"id":"https://openalex.org/keywords/compact-camera","display_name":"compact camera","score":0.3779999911785126}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9441012144088745},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6778362989425659},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6089658737182617},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.5909996032714844},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.565498411655426},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5561613440513611},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5236232876777649},{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.5137633085250854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.504196047782898},{"id":"https://openalex.org/C155512908","wikidata":"https://www.wikidata.org/wiki/Q210745","display_name":"CMOS sensor","level":3,"score":0.48533931374549866},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44170546531677246},{"id":"https://openalex.org/C124967146","wikidata":"https://www.wikidata.org/wiki/Q3457898","display_name":"Spectral resolution","level":3,"score":0.4386565089225769},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.41901540756225586},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.40118664503097534},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.39510616660118103},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18842047452926636},{"id":"https://openalex.org/C4839761","wikidata":"https://www.wikidata.org/wiki/Q212111","display_name":"Spectral line","level":2,"score":0.14073482155799866},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.908172","doi":"https://doi.org/10.1117/12.908172","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.908172","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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":0,"referenced_works":[],"related_works":["https://openalex.org/W6902459434","https://openalex.org/W2008790367","https://openalex.org/W2369086172","https://openalex.org/W2593156377","https://openalex.org/W2803481854","https://openalex.org/W3035510385","https://openalex.org/W2004295878","https://openalex.org/W1991438163","https://openalex.org/W1965061537","https://openalex.org/W4408706029"],"abstract_inverted_index":{"Although":[0],"the":[1,29,42,68],"potential":[2],"of":[3,31,61,71,134],"hyperspectral":[4,38,52,96,159],"imaging":[5],"has":[6,22],"been":[7,25],"demonstrated":[8],"for":[9,86,180],"several":[10],"applications,":[11],"using":[12],"laboratory":[13],"setups":[14],"in":[15,152,169],"research":[16,45],"environments,":[17],"its":[18],"adoption":[19],"by":[20],"industry":[21],"so":[23],"far":[24],"limited":[26],"due":[27],"to":[28,84,119],"lack":[30],"high":[32],"speed,":[33],"low":[34],"cost":[35],"and":[36,46,94,130],"compact":[37,93],"cameras.":[39],"To":[40,66],"bridge":[41],"gap":[43],"between":[44],"industry,":[47],"we":[48,76],"present":[49],"a":[50,56,62,72,79,92,113,123,131,158,172],"novel":[51],"sensor":[53],"that":[54,81,162],"integrates":[55],"wedge":[57,74],"filter":[58],"on":[59,171],"top":[60],"standard":[63],"CMOS":[64,101],"sensor.":[65,175],"enable":[67],"low-cost":[69,100],"processing":[70],"microscopic":[73],"filter,":[75],"have":[77],"introduced":[78],"design":[80],"is":[82,91,141,157,183],"able":[83],"compensate":[85],"process":[87,102],"variability.":[88],"The":[89,104,139,155,176],"result":[90],"fast":[95],"camera":[97,107],"made":[98],"with":[99,122],"technology.":[103],"current":[105],"prototype":[106,156],"acquires":[108,163],"100":[109],"spectral":[110,114,124,167],"bands":[111],"over":[112],"range":[115],"from":[116],"560":[117],"nm":[118,129],"1000":[120],"nm,":[121],"resolution":[125,133],"better":[126],"than":[127],"10":[128],"spatial":[132],"2048":[135],"pixels":[136],"per":[137,144,166,187],"line.":[138],"speed":[140],"180":[142],"frames":[143],"second":[145],"at":[146],"illumination":[147],"levels":[148],"as":[149],"typically":[150],"used":[151],"machine":[153],"vision.":[154],"line":[160,178],"scanner":[161],"16":[164],"lines":[165,186],"band":[168],"parallel":[170],"4":[173],"MPixel":[174],"theoretic":[177],"rate":[179],"this":[181],"implementation":[182],"thus":[184],"2880":[185],"second.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":13},{"year":2013,"cited_by_count":5}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2016-06-24T00:00:00"}