{"id":"https://openalex.org/W2012055075","doi":"https://doi.org/10.1117/12.2067151","title":"Airborne hyperspectral imaging in the visible-to-mid wave infrared spectral range by fusing three spectral sensors","display_name":"Airborne hyperspectral imaging in the visible-to-mid wave infrared spectral range by fusing three spectral sensors","publication_year":2014,"publication_date":"2014-10-23","ids":{"openalex":"https://openalex.org/W2012055075","doi":"https://doi.org/10.1117/12.2067151","mag":"2012055075"},"language":"en","primary_location":{"id":"doi:10.1117/12.2067151","doi":"https://doi.org/10.1117/12.2067151","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2067151","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/A5005803463","display_name":"Dainis Jakovels","orcid":"https://orcid.org/0000-0002-2969-5972","observed_orcids":["https://orcid.org/0000-0002-2969-5972"]},"institutions":[{"id":"https://openalex.org/I4210087547","display_name":"Institute for Environmental Solutions","ror":"https://ror.org/0055m7z56","country_code":"LV","type":"nonprofit","lineage":["https://openalex.org/I4210087547"]}],"countries":["LV"],"is_corresponding":false,"raw_author_name":"Dainis Jakovels","raw_affiliation_strings":["Institute for Environmental Solutions (Latvia)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Environmental Solutions (Latvia)","institution_ids":["https://openalex.org/I4210087547"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087980911","display_name":"Jevg\u0113\u0146ijs Fi\u013cipovs","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210087547","display_name":"Institute for Environmental Solutions","ror":"https://ror.org/0055m7z56","country_code":"LV","type":"nonprofit","lineage":["https://openalex.org/I4210087547"]}],"countries":["LV"],"is_corresponding":false,"raw_author_name":"Jevgenijs Filipovs","raw_affiliation_strings":["Institute for Environmental Solutions (Latvia)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Environmental Solutions (Latvia)","institution_ids":["https://openalex.org/I4210087547"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061561502","display_name":"Gatis Erins","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210087547","display_name":"Institute for Environmental Solutions","ror":"https://ror.org/0055m7z56","country_code":"LV","type":"nonprofit","lineage":["https://openalex.org/I4210087547"]}],"countries":["LV"],"is_corresponding":false,"raw_author_name":"Gatis Erins","raw_affiliation_strings":["Institute for Environmental Solutions (Latvia)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Environmental Solutions (Latvia)","institution_ids":["https://openalex.org/I4210087547"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005132169","display_name":"Juris Taskovs","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210087547","display_name":"Institute for Environmental Solutions","ror":"https://ror.org/0055m7z56","country_code":"LV","type":"nonprofit","lineage":["https://openalex.org/I4210087547"]}],"countries":["LV"],"is_corresponding":false,"raw_author_name":"Juris Taskovs","raw_affiliation_strings":["Institute for Environmental Solutions (Latvia)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Environmental Solutions (Latvia)","institution_ids":["https://openalex.org/I4210087547"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210087547"],"apc_list":null,"apc_paid":null,"fwci":1.911,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84360902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":"9245","issue":null,"first_page":"92450P","last_page":"92450P"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9140999913215637,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9140999913215637,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.07559999823570251,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.0031999999191612005,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/airborne-hyperspectral-imaging","display_name":"airborne hyperspectral imaging","score":0.9879999756813049},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"sensor fusion","score":0.7160000205039978},{"id":"https://openalex.org/keywords/mid-wave-infrared","display_name":"mid-wave infrared","score":0.7390000224113464},{"id":"https://openalex.org/keywords/short-wave-infrared","display_name":"shortwave infrared","score":0.9139999747276306},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"principal component analysis","score":0.7900000214576721},{"id":"https://openalex.org/keywords/vegetation-index","display_name":"vegetation indices","score":0.9980000257492065},{"id":"https://openalex.org/keywords/thermal-radiation","display_name":"thermal radiation","score":0.7200000286102295},{"id":"https://openalex.org/keywords/compositional-analysis","display_name":"compositional analysis","score":0.6119999885559082},{"id":"https://openalex.org/keywords/environmental-monitoring","display_name":"environmental monitoring","score":0.5839999914169312}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9650441408157349},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7915143966674805},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7522172331809998},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.7321990728378296},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.6175479888916016},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.574914813041687},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5636446475982666},{"id":"https://openalex.org/C3232514","wikidata":"https://www.wikidata.org/wiki/Q7575196","display_name":"Spectral imaging","level":2,"score":0.5288727283477783},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.48907023668289185},{"id":"https://openalex.org/C43571822","wikidata":"https://www.wikidata.org/wiki/Q599037","display_name":"Near-infrared spectroscopy","level":2,"score":0.4886375069618225},{"id":"https://openalex.org/C65597285","wikidata":"https://www.wikidata.org/wiki/Q5090469","display_name":"Chemical imaging","level":3,"score":0.4615184962749481},{"id":"https://openalex.org/C155761240","wikidata":"https://www.wikidata.org/wiki/Q133139","display_name":"Electromagnetic spectrum","level":2,"score":0.455576092004776},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4434584975242615},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44324809312820435},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.41703081130981445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3073831796646118},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2655937075614929},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1594577133655548},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12645453214645386},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11942654848098755}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2067151","doi":"https://doi.org/10.1117/12.2067151","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2067151","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":20,"referenced_works":["https://openalex.org/W9910819","https://openalex.org/W1971637299","https://openalex.org/W1976044762","https://openalex.org/W1978617972","https://openalex.org/W2000613913","https://openalex.org/W2034591642","https://openalex.org/W2048120915","https://openalex.org/W2049398443","https://openalex.org/W2063623478","https://openalex.org/W2064632414","https://openalex.org/W2079878416","https://openalex.org/W2105701225","https://openalex.org/W2118463259","https://openalex.org/W2118791227","https://openalex.org/W2121102297","https://openalex.org/W2124937378","https://openalex.org/W2171063647","https://openalex.org/W2248139498","https://openalex.org/W2577355655","https://openalex.org/W6884924164"],"related_works":["https://openalex.org/W2111422864","https://openalex.org/W1614619900","https://openalex.org/W4244755829","https://openalex.org/W2038359451","https://openalex.org/W2918593858","https://openalex.org/W2024556862","https://openalex.org/W324256115","https://openalex.org/W3042268330","https://openalex.org/W2029885936","https://openalex.org/W2035368748"],"abstract_inverted_index":{"Airborne":[0,122],"hyperspectral":[1,145],"imaging":[2,146],"is":[3,43,75,161],"widely":[4],"used":[5,77],"for":[6,78,110],"remote":[7],"sensing":[8],"of":[9,13,23,36,50,67,89,93,99,113,143],"environment.":[10],"The":[11,48,91,136],"choice":[12],"spectral":[14,30,34,97,102],"region":[15],"usually":[16],"depends":[17],"on":[18,85],"the":[19,24,44,65,68,86,111,141,149],"availability":[20],"and":[21,105,116,124,170],"cost":[22],"sensor.":[25],"Visible-to-near":[26],"infrared":[27,52,72,152],"(400-1100":[28],"nm)":[29,54,74,154],"range":[31,103],"corresponds":[32],"to":[33,163],"sensitivity":[35],"relatively":[37],"cheap":[38],"Si":[39],"detectors":[40],"therefore":[41],"it":[42,82],"most":[45],"commonly":[46],"used.":[47],"implementation":[49],"shortwave":[51],"(1100-3000":[53],"requires":[55],"more":[56],"expensive":[57],"solutions,":[58],"but":[59,81],"can":[60],"provide":[61],"valuable":[62],"information":[63,84],"about":[64],"composition":[66],"substance.":[69],"Mid":[70],"wave":[71,151],"(3000-8000":[73],"rarely":[76],"civilian":[79],"applications,":[80],"provides":[83],"thermal":[87],"emission":[88],"materials.":[90],"fusion":[92,142],"different":[94],"sensors":[95,147],"allows":[96],"analysis":[98,112,159],"a":[100],"wider":[101],"combining":[104],"improving":[106],"already":[107],"existing":[108],"algorithms":[109],"chemical":[114],"content":[115],"classification.":[117],"Here":[118],"we":[119],"introduce":[120],"our":[121],"Surveillance":[123],"Environmental":[125],"Monitoring":[126],"System":[127],"(ARSENAL)":[128],"that":[129],"was":[130],"developed":[131],"by":[132],"fusing":[133],"seven":[134],"sensors.":[135],"first":[137],"test":[138,164],"results":[139],"from":[140],"three":[144],"in":[148],"visible-to-mid":[150],"(365-5000":[153],"are":[155],"demonstrated.":[156],"Principal":[157],"component":[158],"(PCA)":[160],"applied":[162],"correlation":[165],"between":[166],"principal":[167],"components":[168],"(PCs)":[169],"common":[171],"vegetation":[172],"indices.":[173]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}
