{"id":"https://openalex.org/W2154843296","doi":"https://doi.org/10.1109/igarss.2008.4779290","title":"Principal Component Analysis in Multiple Description Coding of Spectral Images","display_name":"Principal Component Analysis in Multiple Description Coding of Spectral Images","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2154843296","doi":"https://doi.org/10.1109/igarss.2008.4779290","mag":"2154843296"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2008.4779290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2008.4779290","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","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/A5067988452","display_name":"Arto Kaarna","orcid":"https://orcid.org/0000-0002-9320-6504"},"institutions":[{"id":"https://openalex.org/I63548447","display_name":"Lappeenranta-Lahti University of Technology","ror":"https://ror.org/0208vgz68","country_code":"FI","type":"education","lineage":["https://openalex.org/I63548447"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Arto Kaarna","raw_affiliation_strings":["Department of Information Technology, Lappeenranta University of Technology, Lappeeranta, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Lappeenranta University of Technology, Lappeeranta, Finland","institution_ids":["https://openalex.org/I63548447"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056447210","display_name":"Andrey Norkin","orcid":"https://orcid.org/0000-0002-2417-1635"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]},{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Andrey Norkin","raw_affiliation_strings":["Department of Signal Processing, Tampere University of Technology, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Signal Processing, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071299600","display_name":"Jaakko Astola","orcid":"https://orcid.org/0000-0002-2750-5311"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]},{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jaakko Astola","raw_affiliation_strings":["Department of Signal Processing, Tampere University of Technology, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Signal Processing, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067988452"],"corresponding_institution_ids":["https://openalex.org/I63548447"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16022196,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"III ","last_page":" 91"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.998199999332428,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.998199999332428,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.996399998664856,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/principal-component-analysis","display_name":"Principal component analysis","score":0.7959668040275574},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6949746608734131},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.650131106376648},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.618621826171875},{"id":"https://openalex.org/keywords/integer","display_name":"Integer (computer science)","score":0.5060309767723083},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4929161071777344},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4809219539165497},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.46668609976768494},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.46052393317222595},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4577731788158417},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.43487048149108887},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43140709400177},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.43021702766418457},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42464661598205566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3779143691062927},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.24824360013008118},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21215388178825378},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20599865913391113},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1052364706993103}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7959668040275574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6949746608734131},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.650131106376648},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.618621826171875},{"id":"https://openalex.org/C97137487","wikidata":"https://www.wikidata.org/wiki/Q729138","display_name":"Integer (computer science)","level":2,"score":0.5060309767723083},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4929161071777344},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4809219539165497},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.46668609976768494},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.46052393317222595},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4577731788158417},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.43487048149108887},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43140709400177},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.43021702766418457},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42464661598205566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3779143691062927},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.24824360013008118},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21215388178825378},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20599865913391113},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1052364706993103},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2008.4779290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2008.4779290","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1975358183","https://openalex.org/W1984121966","https://openalex.org/W2052880867","https://openalex.org/W2083979133","https://openalex.org/W2095975892","https://openalex.org/W2096949528","https://openalex.org/W2102740494","https://openalex.org/W2128103552","https://openalex.org/W2145354815","https://openalex.org/W2161488606","https://openalex.org/W6683504902"],"related_works":["https://openalex.org/W2355663289","https://openalex.org/W2982399888","https://openalex.org/W2106913410","https://openalex.org/W4380372336","https://openalex.org/W2354248671","https://openalex.org/W1975632186","https://openalex.org/W2359134391","https://openalex.org/W2594116857","https://openalex.org/W3027745756","https://openalex.org/W3205213561"],"abstract_inverted_index":{"Communications":[0],"in":[1,95],"general":[2],"require":[3],"protection":[4,36],"due":[5],"to":[6,25,91],"error-prone":[7],"channels.":[8,41],"In":[9,85],"geoscience":[10],"and":[11,19,73],"remote":[12],"sensing,":[13],"especially":[14],"coded":[15],"or":[16],"compressed":[17],"data,":[18],"results":[20],"from":[21],"classifications":[22],"are":[23,32,112],"vulnerable":[24],"transmissions":[26],"errors.":[27],"Multiple":[28],"descriptions":[29,72,102],"of":[30,37,48,110,123],"data":[31],"one":[33],"way":[34,53],"for":[35,54,69,82,98,120],"communications":[38],"over":[39],"unreliable":[40],"This":[42],"study":[43],"concentrates":[44],"on":[45],"multiple":[46],"description":[47],"spectral":[49],"images":[50],"as":[51],"a":[52],"providing":[55],"scalable":[56],"coding.":[57],"The":[58,117],"principal":[59,124],"component":[60],"analysis":[61],"outputs":[62],"the":[63,66,70,75,86,88,96,100,115,133,137],"common":[64],"content,":[65],"redundant":[67],"part,":[68],"two":[71,101],"then":[74],"integer":[76],"wavelet":[77,129],"transform":[78],"selects":[79],"different":[80],"contents":[81],"those":[83],"descriptions.":[84],"experiments,":[87],"goal":[89],"was":[90],"find":[92],"good":[93],"parameterization":[94],"transmitter":[97],"generating":[99],"which":[103],"will":[104],"allow":[105],"perfect":[106],"reconstruction":[107,118],"if":[108],"both":[109],"them":[111],"available":[113],"at":[114],"receiver.":[116],"quality":[119],"various":[121],"number":[122],"components":[125],"is":[126],"demonstrated.":[127],"Integer":[128],"filter":[130],"5/3":[131],"showed":[132],"best":[134],"performance":[135],"among":[136],"implemented":[138],"filters.":[139]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}