{"id":"https://openalex.org/W3094174092","doi":"https://doi.org/10.1007/s00138-020-01136-8","title":"Snapshot hyperspectral imaging using wide dilation networks","display_name":"Snapshot hyperspectral imaging using wide dilation networks","publication_year":2020,"publication_date":"2020-10-16","ids":{"openalex":"https://openalex.org/W3094174092","doi":"https://doi.org/10.1007/s00138-020-01136-8","mag":"3094174092"},"language":"en","primary_location":{"id":"doi:10.1007/s00138-020-01136-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00138-020-01136-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00138-020-01136-8.pdf","source":{"id":"https://openalex.org/S27728525","display_name":"Machine Vision and Applications","issn_l":"0932-8092","issn":["0932-8092","1432-1769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Vision and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00138-020-01136-8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070668384","display_name":"Mikko E. Toivonen","orcid":"https://orcid.org/0000-0003-4553-6880"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Mikko E. Toivonen","raw_affiliation_strings":["Department of Computer Science, University of Helsinki, Helsinki, Finland"],"raw_orcid":"https://orcid.org/0000-0003-4553-6880","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060046167","display_name":"Chang Rajani","orcid":"https://orcid.org/0000-0003-1691-8206"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Chang Rajani","raw_affiliation_strings":["Department of Computer Science, University of Helsinki, Helsinki, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084783731","display_name":"Arto Klami","orcid":"https://orcid.org/0000-0002-7950-1355"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Arto Klami","raw_affiliation_strings":["Department of Computer Science, University of Helsinki, Helsinki, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070668384"],"corresponding_institution_ids":["https://openalex.org/I133731052"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":{"value":2490,"currency":"EUR","value_usd":3090},"fwci":2.295,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.90806797,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"32","issue":"1","first_page":null,"last_page":null},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9976000189781189,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.8546978235244751},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6757075786590576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6643240451812744},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5917098522186279},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5766686201095581},{"id":"https://openalex.org/keywords/grating","display_name":"Grating","score":0.5073367953300476},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.49157318472862244},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4771953523159027},{"id":"https://openalex.org/keywords/dilation","display_name":"Dilation (metric space)","score":0.46176546812057495},{"id":"https://openalex.org/keywords/diffraction-grating","display_name":"Diffraction grating","score":0.4541279375553131},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.45273393392562866},{"id":"https://openalex.org/keywords/diffraction","display_name":"Diffraction","score":0.41868460178375244},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.41068312525749207},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3256072402000427},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23662269115447998},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.21064913272857666},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1979946494102478},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18088972568511963}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8546978235244751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6757075786590576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6643240451812744},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5917098522186279},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5766686201095581},{"id":"https://openalex.org/C2777813233","wikidata":"https://www.wikidata.org/wiki/Q1527816","display_name":"Grating","level":2,"score":0.5073367953300476},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.49157318472862244},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4771953523159027},{"id":"https://openalex.org/C2780757906","wikidata":"https://www.wikidata.org/wiki/Q5276676","display_name":"Dilation (metric space)","level":2,"score":0.46176546812057495},{"id":"https://openalex.org/C126753812","wikidata":"https://www.wikidata.org/wiki/Q653294","display_name":"Diffraction grating","level":3,"score":0.4541279375553131},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.45273393392562866},{"id":"https://openalex.org/C207114421","wikidata":"https://www.wikidata.org/wiki/Q133900","display_name":"Diffraction","level":2,"score":0.41868460178375244},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.41068312525749207},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3256072402000427},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23662269115447998},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.21064913272857666},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1979946494102478},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18088972568511963},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s00138-020-01136-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00138-020-01136-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00138-020-01136-8.pdf","source":{"id":"https://openalex.org/S27728525","display_name":"Machine Vision and Applications","issn_l":"0932-8092","issn":["0932-8092","1432-1769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Vision and Applications","raw_type":"journal-article"},{"id":"pmh:oai:helda.helsinki.fi:10138/321211","is_oa":true,"landing_page_url":"http://hdl.handle.net/10138/321211","pdf_url":"http://hdl.handle.net/10138/321211","source":{"id":"https://openalex.org/S4210213322","display_name":"Ty\u00f6v\u00e4entutkimus Vuosikirja","issn_l":"0784-1272","issn":["0784-1272","1459-7780"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1007/s00138-020-01136-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00138-020-01136-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00138-020-01136-8.pdf","source":{"id":"https://openalex.org/S27728525","display_name":"Machine Vision and Applications","issn_l":"0932-8092","issn":["0932-8092","1432-1769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Vision and Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[{"id":"https://openalex.org/G3353166938","display_name":null,"funder_award_id":"1266969","funder_id":"https://openalex.org/F4320335063","funder_display_name":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta"},{"id":"https://openalex.org/G7806351126","display_name":null,"funder_award_id":"urn:nbn:fi:research-infras-2016072533","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"}],"funders":[{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"},{"id":"https://openalex.org/F4320335063","display_name":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta","ror":"https://ror.org/05k73zm37"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3094174092.pdf","grobid_xml":"https://content.openalex.org/works/W3094174092.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W609694675","https://openalex.org/W1522301498","https://openalex.org/W1922123711","https://openalex.org/W1965061537","https://openalex.org/W1966580635","https://openalex.org/W1988386267","https://openalex.org/W2002001014","https://openalex.org/W2029316659","https://openalex.org/W2031898173","https://openalex.org/W2048976066","https://openalex.org/W2065579444","https://openalex.org/W2067782748","https://openalex.org/W2086807405","https://openalex.org/W2087401004","https://openalex.org/W2106772027","https://openalex.org/W2109149397","https://openalex.org/W2127062304","https://openalex.org/W2133665775","https://openalex.org/W2137009054","https://openalex.org/W2138621882","https://openalex.org/W2142058898","https://openalex.org/W2171224700","https://openalex.org/W2171447090","https://openalex.org/W2194775991","https://openalex.org/W2224026628","https://openalex.org/W2286929393","https://openalex.org/W2304648132","https://openalex.org/W2502575609","https://openalex.org/W2768964249","https://openalex.org/W2787292399","https://openalex.org/W2790739169","https://openalex.org/W2791392601","https://openalex.org/W2792455908","https://openalex.org/W2919115771","https://openalex.org/W2963470893","https://openalex.org/W2992062105"],"related_works":["https://openalex.org/W2901421464","https://openalex.org/W2073524920","https://openalex.org/W4283512484","https://openalex.org/W2240569495","https://openalex.org/W2089749866","https://openalex.org/W2351403114","https://openalex.org/W2055615132","https://openalex.org/W2076974829","https://openalex.org/W2548693673","https://openalex.org/W2046393567"],"abstract_inverted_index":{"Abstract":[0],"Hyperspectral":[1],"(HS)":[2],"cameras":[3],"record":[4],"the":[5,56,62,67],"spectrum":[6],"at":[7],"multiple":[8],"wavelengths":[9],"for":[10,20,54],"each":[11],"pixel":[12],"in":[13],"an":[14],"image,":[15],"and":[16,23,32,113],"are":[17],"used,":[18],"e.g.,":[19],"quality":[21],"control":[22],"agricultural":[24],"remote":[25],"sensing.":[26],"We":[27,97],"introduce":[28],"a":[29,40,46,77,81,103],"fast,":[30],"cost-efficient":[31],"mobile":[33],"method":[34],"of":[35,95,110],"taking":[36],"HS":[37,57,78,100,116],"images":[38],"using":[39,51,102],"regular":[41],"digital":[42],"camera":[43],"equipped":[44],"with":[45],"passive":[47],"diffraction":[48,111],"grating":[49,60,112],"filter,":[50],"machine":[52],"learning":[53],"constructing":[55],"image.":[58],"The":[59],"distorts":[61],"image":[63,79],"by":[64,80],"effectively":[65],"mapping":[66],"spectral":[68],"information":[69],"into":[70,76],"spatial":[71],"dislocations,":[72],"which":[73],"we":[74],"convert":[75],"convolutional":[82],"neural":[83],"network":[84],"utilizing":[85],"novel":[86],"wide":[87],"dilation":[88],"convolutions":[89],"that":[90],"accurately":[91],"model":[92,104],"optical":[93],"properties":[94],"diffraction.":[96],"demonstrate":[98],"high-quality":[99],"reconstruction":[101],"trained":[105],"on":[106],"only":[107],"271":[108],"pairs":[109],"ground":[114],"truth":[115],"images.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
