{"id":"https://openalex.org/W2471108112","doi":"https://doi.org/10.1109/tgrs.2016.2574757","title":"Hyperspectral Image Compression Optimized for Spectral Unmixing","display_name":"Hyperspectral Image Compression Optimized for Spectral Unmixing","publication_year":2016,"publication_date":"2016-06-20","ids":{"openalex":"https://openalex.org/W2471108112","doi":"https://doi.org/10.1109/tgrs.2016.2574757","mag":"2471108112"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2016.2574757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2016.2574757","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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":null,"display_name":"Azam Karami","orcid":"https://orcid.org/0000-0002-8763-0405"},"institutions":[{"id":"https://openalex.org/I115566878","display_name":"Shahid Bahonar University of Kerman","ror":"https://ror.org/04zn42r77","country_code":"IR","type":"education","lineage":["https://openalex.org/I115566878"]},{"id":"https://openalex.org/I149213910","display_name":"University of Antwerp","ror":"https://ror.org/008x57b05","country_code":"BE","type":"education","lineage":["https://openalex.org/I149213910"]}],"countries":["BE","IR"],"is_corresponding":false,"raw_author_name":"Azam Karami","raw_affiliation_strings":["Vision Lab, Shahid Bahonar University of Kerman, Kerman, Iran","Visionlab, University of Antwerp, Belgium","Faculty of Physics,, Shahid Bahonar University of Kerman, Kerman, Iran"],"raw_orcid":"https://orcid.org/0000-0002-8763-0405","affiliations":[{"raw_affiliation_string":"Vision Lab, Shahid Bahonar University of Kerman, Kerman, Iran","institution_ids":["https://openalex.org/I115566878"]},{"raw_affiliation_string":"Visionlab, University of Antwerp, Belgium","institution_ids":["https://openalex.org/I149213910"]},{"raw_affiliation_string":"Faculty of Physics,, Shahid Bahonar University of Kerman, Kerman, Iran","institution_ids":["https://openalex.org/I115566878"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048918209","display_name":"Rob Heylen","orcid":"https://orcid.org/0000-0002-8341-9397"},"institutions":[{"id":"https://openalex.org/I149213910","display_name":"University of Antwerp","ror":"https://ror.org/008x57b05","country_code":"BE","type":"education","lineage":["https://openalex.org/I149213910"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Rob Heylen","raw_affiliation_strings":["Vision Lab, University of Antwerp, Antwerp, Belgium","Visionlab, University of Antwerp, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vision Lab, University of Antwerp, Antwerp, Belgium","institution_ids":["https://openalex.org/I149213910"]},{"raw_affiliation_string":"Visionlab, University of Antwerp, Belgium","institution_ids":["https://openalex.org/I149213910"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009310543","display_name":"Paul Scheunders","orcid":"https://orcid.org/0000-0003-2447-4772"},"institutions":[{"id":"https://openalex.org/I149213910","display_name":"University of Antwerp","ror":"https://ror.org/008x57b05","country_code":"BE","type":"education","lineage":["https://openalex.org/I149213910"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Paul Scheunders","raw_affiliation_strings":["Vision Lab, University of Antwerp, Antwerp, Belgium","Visionlab, University of Antwerp, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vision Lab, University of Antwerp, Antwerp, Belgium","institution_ids":["https://openalex.org/I149213910"]},{"raw_affiliation_string":"Visionlab, University of Antwerp, Belgium","institution_ids":["https://openalex.org/I149213910"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2805,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.8424082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"54","issue":"10","first_page":"5884","last_page":"5894"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9988999962806702,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.885318398475647},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.7912928462028503},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5776233077049255},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5099233388900757},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4917955696582794},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.47989094257354736},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.46901482343673706},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4636792838573456},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4409191906452179},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4308396875858307},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37974199652671814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3058311343193054},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27352815866470337},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22081923484802246},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07672980427742004},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07559800148010254}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.885318398475647},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.7912928462028503},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5776233077049255},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5099233388900757},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4917955696582794},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.47989094257354736},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.46901482343673706},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4636792838573456},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4409191906452179},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4308396875858307},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37974199652671814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3058311343193054},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27352815866470337},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22081923484802246},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07672980427742004},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07559800148010254},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2016.2574757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2016.2574757","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:c:irua:134281","is_oa":false,"landing_page_url":"https://hdl.handle.net/10067/1342810151162165141","pdf_url":null,"source":{"id":"https://openalex.org/S4377196495","display_name":"Anet (University of Antwerp)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149213910","host_organization_name":"University of Antwerp","host_organization_lineage":["https://openalex.org/I149213910"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W828136055","https://openalex.org/W1246381107","https://openalex.org/W1513817866","https://openalex.org/W1726780665","https://openalex.org/W1964560558","https://openalex.org/W1968154520","https://openalex.org/W1996699294","https://openalex.org/W2005459214","https://openalex.org/W2010239333","https://openalex.org/W2020807867","https://openalex.org/W2067411036","https://openalex.org/W2070424424","https://openalex.org/W2095731416","https://openalex.org/W2097900616","https://openalex.org/W2103782255","https://openalex.org/W2113753426","https://openalex.org/W2116776498","https://openalex.org/W2122010147","https://openalex.org/W2123066915","https://openalex.org/W2127308700","https://openalex.org/W2133764833","https://openalex.org/W2138038253","https://openalex.org/W2142458747","https://openalex.org/W2145325002","https://openalex.org/W2150219140","https://openalex.org/W2157321686","https://openalex.org/W2158548804","https://openalex.org/W2169245194","https://openalex.org/W2170407643","https://openalex.org/W2469305493","https://openalex.org/W6637784132","https://openalex.org/W6681870754"],"related_works":["https://openalex.org/W3202870363","https://openalex.org/W2372078508","https://openalex.org/W134512948","https://openalex.org/W2389480458","https://openalex.org/W2053539432","https://openalex.org/W1544606459","https://openalex.org/W2082502322","https://openalex.org/W1986815171","https://openalex.org/W2164787853","https://openalex.org/W3083610466"],"abstract_inverted_index":{"In":[0],"this":[1,60],"paper,":[2],"we":[3],"present":[4],"a":[5,40,49,57,101],"new":[6],"lossy":[7,130],"compression":[8,31,131,135,163],"method":[9,108,157],"for":[10,109],"hyperspectral":[11,143],"images":[12],"that":[13,152],"aims":[14],"to":[15,73,150],"optimally":[16],"compress":[17],"in":[18,125],"both":[19],"spatial":[20],"and":[21,24,62,90,136],"spectral":[22,34,65,137],"domains":[23],"simultaneously":[25],"minimizes":[26],"the":[27,30,63,75,80,84,88,113,141,153,162],"effect":[28],"of":[29,51,87,112,140,155],"on":[32],"linear":[33,64],"unmixing":[35,138],"performance.":[36],"To":[37],"achieve":[38],"this,":[39],"nonnegative":[41],"Tucker":[42],"decomposition":[43,47,61],"is":[44,48,71,98,116,145,148],"applied.":[45],"This":[46],"function":[50],"three":[52],"dimension":[53],"parameters.":[54],"By":[55],"employing":[56],"link":[58],"between":[59,83],"mixing":[66],"model,":[67],"an":[68,133],"optimization":[69,96,104],"problem":[70,97],"defined":[72],"find":[74],"optimal":[76],"parameters":[77,115],"by":[78,100],"minimizing":[79],"root-mean-square":[81],"error":[82],"abundance":[85],"matrices":[86],"original":[89],"reconstructed":[91,142],"data":[92],"sets.":[93],"The":[94],"resulting":[95],"solved":[99],"particle":[102],"swarm":[103],"algorithm.":[105],"An":[106],"approximate":[107],"fast":[110],"estimation":[111],"free":[114],"introduced":[117],"as":[118,161],"well.":[119],"Our":[120],"simulation":[121],"results":[122],"show":[123],"that,":[124],"comparison":[126],"with":[127],"well-known":[128],"state-of-the-art":[129],"methods,":[132],"improved":[134],"performance":[139],"image":[144],"obtained.":[146],"It":[147],"noteworthy":[149],"mention":[151],"superiority":[154],"our":[156],"becomes":[158],"more":[159],"apparent":[160],"ratio":[164],"grows.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
