{"id":"https://openalex.org/W2162934636","doi":"https://doi.org/10.1109/icassp.2014.6855117","title":"Compressive hyperspectral imaging using progressive total variation","display_name":"Compressive hyperspectral imaging using progressive total variation","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2162934636","doi":"https://doi.org/10.1109/icassp.2014.6855117","mag":"2162934636"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6855117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6855117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://porto.polito.it/2546942/","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065530161","display_name":"Simeon Kamdem Kuiteing","orcid":null},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Simeon Kamdem Kuiteing","raw_affiliation_strings":["Dipartimento di Ingegneria dell'Informazione, Universit\u00e0 di Siena, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria dell'Informazione, Universit\u00e0 di Siena, Italy","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042168362","display_name":"Giulio Coluccia","orcid":"https://orcid.org/0000-0002-9638-4138"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giulio Coluccia","raw_affiliation_strings":["Dipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038224201","display_name":"Alessandro Barducci","orcid":"https://orcid.org/0000-0002-4413-7506"},"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":"Alessandro Barducci","raw_affiliation_strings":["Consiglio Nazionale delle Ricerche, Istituto di Fisica Applicata \u201cNello Carrara\u201d, Firenze, Italy","Consiglio Nazionale delle Ricerche, Istituto di Fisica Applicata \"Nello Carrara\", Firenze, Italy"],"affiliations":[{"raw_affiliation_string":"Consiglio Nazionale delle Ricerche, Istituto di Fisica Applicata \u201cNello Carrara\u201d, Firenze, Italy","institution_ids":["https://openalex.org/I4210092323"]},{"raw_affiliation_string":"Consiglio Nazionale delle Ricerche, Istituto di Fisica Applicata \"Nello Carrara\", Firenze, Italy","institution_ids":["https://openalex.org/I4210092323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007836692","display_name":"Mauro Barni","orcid":"https://orcid.org/0000-0002-7368-0866"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mauro Barni","raw_affiliation_strings":["Dipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034486931","display_name":"Enrico Magli","orcid":"https://orcid.org/0000-0002-0901-0251"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Enrico Magli","raw_affiliation_strings":["Dipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5065530161"],"corresponding_institution_ids":["https://openalex.org/I102064193"],"apc_list":null,"apc_paid":null,"fwci":1.2615,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.79726685,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"7794","last_page":"7798"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9536175727844238},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.8681967258453369},{"id":"https://openalex.org/keywords/row","display_name":"Row","score":0.7505170106887817},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7269430756568909},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7141168713569641},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5656052231788635},{"id":"https://openalex.org/keywords/spectral-imaging","display_name":"Spectral imaging","score":0.5346025228500366},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5098837614059448},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4893326163291931},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4879834055900574},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.48461422324180603},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.4842366874217987},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46689853072166443},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.46629825234413147},{"id":"https://openalex.org/keywords/row-and-column-spaces","display_name":"Row and column spaces","score":0.4354912042617798},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.21482762694358826},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09338408708572388},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08474692702293396}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9536175727844238},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.8681967258453369},{"id":"https://openalex.org/C135598885","wikidata":"https://www.wikidata.org/wiki/Q1366302","display_name":"Row","level":2,"score":0.7505170106887817},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7269430756568909},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7141168713569641},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5656052231788635},{"id":"https://openalex.org/C3232514","wikidata":"https://www.wikidata.org/wiki/Q7575196","display_name":"Spectral imaging","level":2,"score":0.5346025228500366},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5098837614059448},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4893326163291931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4879834055900574},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.48461422324180603},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.4842366874217987},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46689853072166443},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.46629825234413147},{"id":"https://openalex.org/C104140500","wikidata":"https://www.wikidata.org/wiki/Q2088159","display_name":"Row and column spaces","level":3,"score":0.4354912042617798},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.21482762694358826},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09338408708572388},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08474692702293396},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icassp.2014.6855117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6855117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.759.172","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.759.172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1403.1697.pdf","raw_type":"text"},{"id":"pmh:oai:porto.polito.it:2546942","is_oa":true,"landing_page_url":"http://porto.polito.it/2546942/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402038","display_name":"PORTO Publications Open Repository TOrino (Politecnico di Torino)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177477856","host_organization_name":"Politecnico di Torino","host_organization_lineage":["https://openalex.org/I177477856"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:usiena-air.unisi.it:11365/981805","is_oa":false,"landing_page_url":"http://hdl.handle.net/11365/981805","pdf_url":null,"source":{"id":"https://openalex.org/S4377196319","display_name":"Use Siena air (University of Siena)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102064193","host_organization_name":"University of Siena","host_organization_lineage":["https://openalex.org/I102064193"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:porto.polito.it:2546942","is_oa":true,"landing_page_url":"http://porto.polito.it/2546942/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402038","display_name":"PORTO Publications Open Repository TOrino (Politecnico di Torino)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177477856","host_organization_name":"Politecnico di Torino","host_organization_lineage":["https://openalex.org/I177477856"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1995445077","https://openalex.org/W2008089719","https://openalex.org/W2027953636","https://openalex.org/W2041789314","https://openalex.org/W2049189005","https://openalex.org/W2049973790","https://openalex.org/W2075746284","https://openalex.org/W2100404464","https://openalex.org/W2103115408","https://openalex.org/W2104453356","https://openalex.org/W2132122471","https://openalex.org/W2143116731","https://openalex.org/W2149631607","https://openalex.org/W2157784146","https://openalex.org/W2164452299","https://openalex.org/W2165775912","https://openalex.org/W2296616510","https://openalex.org/W3102018825","https://openalex.org/W3216264151","https://openalex.org/W4240159220","https://openalex.org/W4250955649","https://openalex.org/W6820645939"],"related_works":["https://openalex.org/W2313440505","https://openalex.org/W3123744736","https://openalex.org/W1505848319","https://openalex.org/W2137691148","https://openalex.org/W2050790932","https://openalex.org/W4214939362","https://openalex.org/W2361610245","https://openalex.org/W2026005255","https://openalex.org/W2384478893","https://openalex.org/W2072129882"],"abstract_inverted_index":{"Compressed":[0],"Sensing":[1],"(CS)":[2],"is":[3],"suitable":[4],"for":[5,11],"remote":[6],"acquisition":[7],"of":[8,29,48,81,102],"hyperspectral":[9],"images":[10,98],"earth":[12],"observation,":[13],"since":[14],"it":[15],"could":[16],"exploit":[17],"the":[18,27,30,46,49,100,103],"strong":[19],"spatial":[20,40],"and":[21,41,84,96],"spectral":[22,42,60,65,82],"correlations,":[23],"allowing":[24],"to":[25,38,44],"simplify":[26],"architecture":[28,76],"onboard":[31,56],"sensors.":[32],"Solutions":[33],"proposed":[34,104],"so":[35],"far":[36],"tend":[37],"decouple":[39],"dimensions":[43],"reduce":[45],"complexity":[47],"reconstruction,":[50],"not":[51],"taking":[52],"into":[53],"account":[54],"that":[55],"sensors":[57],"progressively":[58],"acquire":[59],"rows":[61,83],"rather":[62],"than":[63],"acquiring":[64],"channels.":[66],"For":[67],"this":[68],"reason,":[69],"we":[70],"propose":[71],"a":[72],"novel":[73],"progressive":[74],"CS":[75],"based":[77],"on":[78,93],"separate":[79],"sensing":[80],"joint":[85],"reconstruction":[86],"employing":[87],"Total":[88],"Variation.":[89],"Experimental":[90],"results":[91],"run":[92],"raw":[94],"AVIRIS":[95],"AIRS":[97],"confirm":[99],"validity":[101],"system.":[105]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-02-26T08:16:20.718346","created_date":"2025-10-10T00:00:00"}
