{"id":"https://openalex.org/W2164918150","doi":"https://doi.org/10.1109/isspa.2012.6310664","title":"Hyperspectral image compression using 3D discrete cosine transform and support vector machine learning","display_name":"Hyperspectral image compression using 3D discrete cosine transform and support vector machine learning","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2164918150","doi":"https://doi.org/10.1109/isspa.2012.6310664","mag":"2164918150"},"language":"en","primary_location":{"id":"doi:10.1109/isspa.2012.6310664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2012.6310664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5046045649","display_name":"Azam Karami","orcid":"https://orcid.org/0000-0002-9820-4217"},"institutions":[{"id":"https://openalex.org/I166459259","display_name":"Shiraz University","ror":"https://ror.org/028qtbk54","country_code":"IR","type":"education","lineage":["https://openalex.org/I166459259"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Azam Karami","raw_affiliation_strings":["Department of Communications and Electronics, School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Communications and Electronics, School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran","institution_ids":["https://openalex.org/I166459259"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087543977","display_name":"Soosan Beheshti","orcid":"https://orcid.org/0000-0001-7161-5887"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Soosan Beheshti","raw_affiliation_strings":["Department of Electrical Engineering, Ryerson University, Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Ryerson University, Toronto, Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039711119","display_name":"Mehran Yazdi","orcid":null},"institutions":[{"id":"https://openalex.org/I166459259","display_name":"Shiraz University","ror":"https://ror.org/028qtbk54","country_code":"IR","type":"education","lineage":["https://openalex.org/I166459259"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mehran Yazdi","raw_affiliation_strings":["Department of Communications and Electronics, School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Communications and Electronics, School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran","institution_ids":["https://openalex.org/I166459259"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"809","last_page":"812"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9973000288009644,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9907000064849854,"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":0.9019103646278381},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.8956268429756165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6824873685836792},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6670123338699341},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.582247257232666},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.540152907371521},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4787668287754059},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47219786047935486},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4443328380584717},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4276067912578583},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4269860088825226},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.4182281196117401},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33051297068595886},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2718604505062103},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.05442631244659424}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9019103646278381},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.8956268429756165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6824873685836792},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6670123338699341},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.582247257232666},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.540152907371521},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4787668287754059},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47219786047935486},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4443328380584717},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4276067912578583},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4269860088825226},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.4182281196117401},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33051297068595886},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2718604505062103},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.05442631244659424},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isspa.2012.6310664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2012.6310664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W609694675","https://openalex.org/W1513817866","https://openalex.org/W2097900616","https://openalex.org/W2125496858","https://openalex.org/W2131973628","https://openalex.org/W2137498957","https://openalex.org/W2143465920","https://openalex.org/W2155881826","https://openalex.org/W2156909104","https://openalex.org/W2158548804","https://openalex.org/W4212783130"],"related_works":["https://openalex.org/W2094583657","https://openalex.org/W1594300462","https://openalex.org/W2158009109","https://openalex.org/W1706111048","https://openalex.org/W2162505377","https://openalex.org/W2112852877","https://openalex.org/W2772846670","https://openalex.org/W2034796835","https://openalex.org/W2115252864","https://openalex.org/W3188631569"],"abstract_inverted_index":{"Hyperspectral":[0],"images":[1,53,94],"exhibit":[2],"significant":[3],"spectral":[4],"correlation,":[5],"whose":[6],"exploitation":[7],"is":[8,22,43],"crucial":[9],"for":[10,18,65],"compression.":[11],"In":[12],"this":[13],"paper,":[14],"an":[15],"efficient":[16],"method":[17,69,98],"hyperspectral":[19,52,93],"image":[20,84],"compression":[21,103],"presented":[23],"using":[24],"the":[25,48,75,96],"three-dimensional":[26],"discrete":[27],"cosine":[28],"transform":[29],"(3D-DCT)":[30],"and":[31,105],"support":[32],"vector":[33],"machine":[34],"(SVM).":[35],"The":[36],"core":[37],"idea":[38],"behind":[39],"our":[40],"proposed":[41,97],"technique":[42],"to":[44,56,91,100],"apply":[45],"SVM":[46],"on":[47],"3D-DCT":[49],"coefficients":[50,59],"of":[51,82],"in":[54],"order":[55],"determine":[57],"which":[58],"(support":[60],"vectors)":[61],"are":[62],"more":[63],"critical":[64],"being":[66],"preserved.":[67],"Our":[68],"not":[70],"only":[71],"exploits":[72],"redundancies":[73],"between":[74],"bands,":[76],"but":[77],"also":[78],"uses":[79],"spatial":[80],"correlations":[81],"every":[83],"band.":[85],"Consequently,":[86],"as":[87],"simulation":[88],"results":[89],"applied":[90],"real":[92],"demonstrate,":[95],"leads":[99],"a":[101],"remarkable":[102],"ratio":[104],"quality.":[106]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
