{"id":"https://openalex.org/W2104948602","doi":"https://doi.org/10.1109/isspa.2005.1580236","title":"A fuzzy spectral clustering for lossless and multiresolution coding of hyperspectral images","display_name":"A fuzzy spectral clustering for lossless and multiresolution coding of hyperspectral images","publication_year":2006,"publication_date":"2006-10-04","ids":{"openalex":"https://openalex.org/W2104948602","doi":"https://doi.org/10.1109/isspa.2005.1580236","mag":"2104948602"},"language":"en","primary_location":{"id":"doi:10.1109/isspa.2005.1580236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2005.1580236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","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/A5069661755","display_name":"Kais Siala","orcid":"https://orcid.org/0000-0002-9080-0014"},"institutions":[{"id":"https://openalex.org/I4210120884","display_name":"Institut Sup\u00e9rieur des \u00c9tudes Technologiques en Communications de Tunis","ror":"https://ror.org/02rfbsc53","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210120884"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"K. Siala","raw_affiliation_strings":["Ecole Sup\u00e9rieure des Communications, Ariana, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ecole Sup\u00e9rieure des Communications, Ariana, Tunisia","institution_ids":["https://openalex.org/I4210120884"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090426136","display_name":"Amel Benazza\u2010Benyahia","orcid":"https://orcid.org/0000-0002-4562-2757"},"institutions":[{"id":"https://openalex.org/I4210120884","display_name":"Institut Sup\u00e9rieur des \u00c9tudes Technologiques en Communications de Tunis","ror":"https://ror.org/02rfbsc53","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210120884"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"A. Benazza-Benyahia","raw_affiliation_strings":["Ecole Sup\u00e9rieure des Communications, Ariana, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ecole Sup\u00e9rieure des Communications, Ariana, Tunisia","institution_ids":["https://openalex.org/I4210120884"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210120884"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1758982,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"223","last_page":"226"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9958000183105469,"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":0.8264362215995789},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6586570143699646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6511562466621399},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6427183151245117},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6127053499221802},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.5141358971595764},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5081541538238525},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4644968509674072},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.46448904275894165},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.42397430539131165},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.4135604202747345},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.334301620721817},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3253719210624695},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.3054775595664978},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25239700078964233}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8264362215995789},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6586570143699646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6511562466621399},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6427183151245117},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6127053499221802},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.5141358971595764},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5081541538238525},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4644968509674072},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.46448904275894165},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.42397430539131165},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.4135604202747345},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.334301620721817},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3253719210624695},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.3054775595664978},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25239700078964233},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isspa.2005.1580236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2005.1580236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","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":12,"referenced_works":["https://openalex.org/W1921827306","https://openalex.org/W1959494754","https://openalex.org/W1995211032","https://openalex.org/W2053691921","https://openalex.org/W2068413687","https://openalex.org/W2096445898","https://openalex.org/W2106069920","https://openalex.org/W2113076747","https://openalex.org/W2120089534","https://openalex.org/W2134002810","https://openalex.org/W2138674095","https://openalex.org/W2153638435"],"related_works":["https://openalex.org/W2279964071","https://openalex.org/W2948148442","https://openalex.org/W2461250372","https://openalex.org/W2394342941","https://openalex.org/W2169853506","https://openalex.org/W2547124190","https://openalex.org/W1558425494","https://openalex.org/W2350586049","https://openalex.org/W2385628723","https://openalex.org/W2169871401"],"abstract_inverted_index":{"In":[0,52],"this":[1,32],"paper,":[2],"we":[3,34],"propose":[4],"a":[5,13,37,47,56,89],"two-stage":[6],"algorithm":[7,40],"for":[8],"hyperspectral":[9],"image":[10],"coding":[11,87],"in":[12,20,65],"multiresolution":[14],"way.":[15],"The":[16],"first":[17],"stage":[18],"consists":[19],"classifying":[21],"the":[22,43,53,70,99,102,106],"spectral":[23,73],"components":[24],"into":[25],"separate":[26],"clusters":[27,44],"sharing":[28],"similar":[29],"characteristics.":[30],"For":[31],"purpose,":[33],"have":[35,46],"applied":[36,61,80],"fuzzy":[38],"clustering":[39],"which":[41],"allows":[42],"to":[45,67,81],"flexible":[48],"number":[49],"of":[50,88,101],"components.":[51],"second":[54],"stage,":[55],"vector":[57],"lifting":[58],"scheme":[59],"is":[60,78],"within":[62],"each":[63],"cluster":[64],"order":[66],"exploit":[68],"simultaneously":[69],"spatial":[71],"and":[72,85],"redundancies.":[74],"A":[75],"selective":[76],"process":[77],"also":[79],"switch":[82],"between":[83],"inter-component":[84],"intracomponent":[86],"given":[90],"component.":[91],"Experiments":[92],"carried":[93],"out":[94],"on":[95],"AVIRIS":[96],"images":[97],"indicate":[98],"outperformance":[100],"proposed":[103],"method":[104],"w.r.t.":[105],"state-of-art":[107],"coders.":[108]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}