{"id":"https://openalex.org/W2427985638","doi":"https://doi.org/10.1109/siu.2016.7496147","title":"Sparse coding based compression of spectrally uncorrelated hyperspectral data using Haar wavelet transform","display_name":"Sparse coding based compression of spectrally uncorrelated hyperspectral data using Haar wavelet transform","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2427985638","doi":"https://doi.org/10.1109/siu.2016.7496147","mag":"2427985638"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2016.7496147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2016.7496147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th Signal Processing and Communication Application Conference (SIU)","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/A5046530264","display_name":"J\u00fclide G\u00fclen Alaydin","orcid":null},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Julide G. Alaydin","raw_affiliation_strings":["Elektrik-Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi, Turkey"],"affiliations":[{"raw_affiliation_string":"Elektrik-Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi, Turkey","institution_ids":["https://openalex.org/I4405392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042082747","display_name":"Beh\u00e7et U\u011fur T\u00f6rey\u0131n","orcid":"https://orcid.org/0000-0003-4406-2783"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"B. Ugur Toreyin","raw_affiliation_strings":["Bili\u015fim Enstit\u00fcs\u00fc, \u0130stanbul Teknik \u00dcniversitesi, Turkey"],"affiliations":[{"raw_affiliation_string":"Bili\u015fim Enstit\u00fcs\u00fc, \u0130stanbul Teknik \u00dcniversitesi, Turkey","institution_ids":["https://openalex.org/I48912391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5046530264"],"corresponding_institution_ids":["https://openalex.org/I4405392"],"apc_list":null,"apc_paid":null,"fwci":0.1691,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55441557,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1945","last_page":"1948"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994000196456909,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.724494457244873},{"id":"https://openalex.org/keywords/haar","display_name":"Haar","score":0.7080461978912354},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6030420660972595},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5987794399261475},{"id":"https://openalex.org/keywords/haar-wavelet","display_name":"Haar wavelet","score":0.5230579972267151},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5167133212089539},{"id":"https://openalex.org/keywords/uncorrelated","display_name":"Uncorrelated","score":0.514677107334137},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4839797019958496},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47789061069488525},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.44905591011047363},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.393582820892334},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24574461579322815},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10609304904937744}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.724494457244873},{"id":"https://openalex.org/C187029792","wikidata":"https://www.wikidata.org/wiki/Q2179112","display_name":"Haar","level":3,"score":0.7080461978912354},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6030420660972595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5987794399261475},{"id":"https://openalex.org/C2780423554","wikidata":"https://www.wikidata.org/wiki/Q766198","display_name":"Haar wavelet","level":5,"score":0.5230579972267151},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5167133212089539},{"id":"https://openalex.org/C169345407","wikidata":"https://www.wikidata.org/wiki/Q8216221","display_name":"Uncorrelated","level":2,"score":0.514677107334137},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4839797019958496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47789061069488525},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.44905591011047363},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.393582820892334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24574461579322815},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10609304904937744}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/siu.2016.7496147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2016.7496147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th Signal Processing and Communication Application Conference (SIU)","raw_type":"proceedings-article"},{"id":"pmh:oai:polen.itu.edu.tr:11527/50827","is_oa":false,"landing_page_url":"https://hdl.handle.net/11527/50827","pdf_url":null,"source":{"id":"https://openalex.org/S4306400460","display_name":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48912391","host_organization_name":"Istanbul Technical University","host_organization_lineage":["https://openalex.org/I48912391"],"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":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W1481311969","https://openalex.org/W2005876975"],"related_works":["https://openalex.org/W1523827626","https://openalex.org/W2377605153","https://openalex.org/W634117680","https://openalex.org/W116950394","https://openalex.org/W191391683","https://openalex.org/W2026034434","https://openalex.org/W1929885588","https://openalex.org/W2430014619","https://openalex.org/W2044461362","https://openalex.org/W2187285467"],"abstract_inverted_index":{"Sparse":[0],"coding":[1],"based":[2,31],"compression":[3,33,121],"of":[4,111],"hyperspectral":[5,55,98,119],"imagery":[6],"yields":[7],"better":[8,40],"rate-distortion":[9,41],"performance":[10,116],"especially":[11],"for":[12,96],"low":[13],"bit-rates":[14],"when":[15],"compared":[16],"with":[17,107],"other":[18],"state-of-the-art":[19],"methods":[20],"in":[21,59,86],"the":[22,45,50,60,77,103],"literature.":[23],"In":[24],"this":[25],"paper,":[26],"an":[27],"on-line":[28],"dictionary":[29,73,109],"learning":[30,74,110],"lossy":[32],"method":[34],"is":[35,57,69,83],"proposed":[36],"yielding":[37],"even":[38],"a":[39,64,72,87],"performance,":[42],"thanks":[43],"to":[44],"spectral":[46,61,104],"decorrelation":[47,105],"achieved":[48],"by":[49,71],"Haar":[51,66],"wavelet":[52],"transform.":[53],"The":[54,80],"data":[56,120],"decorrelated":[58],"dimension":[62],"using":[63,90],"single-level":[65],"transform":[67],"which":[68],"followed":[70],"step":[75],"over":[76,117],"low-subband":[78,112],"data.":[79,99],"higher":[81],"subband":[82],"further":[84],"compressed":[85],"lossless":[88],"manner":[89],"JPEG2000.":[91],"Rate-distortion":[92],"results":[93],"are":[94],"obtaind":[95],"AVIRIS":[97],"Results":[100],"indicate":[101],"that":[102],"coupled":[106],"sparse":[108],"images":[113],"yield":[114],"superior":[115],"existing":[118],"schemes.":[122]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}