{"id":"https://openalex.org/W3164794619","doi":"https://doi.org/10.1109/tci.2021.3082764","title":"Total Utility Metric Based Dictionary Pruning for Sparse Hyperspectral Unmixing","display_name":"Total Utility Metric Based Dictionary Pruning for Sparse Hyperspectral Unmixing","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3164794619","doi":"https://doi.org/10.1109/tci.2021.3082764","mag":"3164794619"},"language":"en","primary_location":{"id":"doi:10.1109/tci.2021.3082764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2021.3082764","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"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 Computational Imaging","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":"https://openalex.org/A5039914328","display_name":"Sefa K\u00fc\u00e7\u00fck","orcid":"https://orcid.org/0000-0002-0279-3185"},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]},{"id":"https://openalex.org/I265519392","display_name":"Erzurum Technical University","ror":"https://ror.org/038pb1155","country_code":"TR","type":"education","lineage":["https://openalex.org/I265519392"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Sefa Kucuk","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Erzurum Technical University, Erzurum, Turkey","Department of Electrical and Electronics Engineering, Hacettepe University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Erzurum Technical University, Erzurum, Turkey","institution_ids":["https://openalex.org/I265519392"]},{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Hacettepe University, Ankara, Turkey","institution_ids":["https://openalex.org/I66514158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012317612","display_name":"Seniha Esen Y\u00fcksel","orcid":"https://orcid.org/0000-0002-8868-1132"},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Seniha Esen Yuksel","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Hacettepe University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Hacettepe University, Ankara, Turkey","institution_ids":["https://openalex.org/I66514158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039914328"],"corresponding_institution_ids":["https://openalex.org/I265519392","https://openalex.org/I66514158"],"apc_list":null,"apc_paid":null,"fwci":0.9973,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.78628399,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"562","last_page":"572"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9970999956130981,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9350717067718506},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.7339515686035156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6958242654800415},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6863470673561096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6613205671310425},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6233865022659302},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.47904694080352783},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.43172410130500793},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.4183831214904785},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3770233392715454}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9350717067718506},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7339515686035156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6958242654800415},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6863470673561096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6613205671310425},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6233865022659302},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.47904694080352783},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.43172410130500793},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.4183831214904785},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3770233392715454},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tci.2021.3082764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2021.3082764","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"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 Computational Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1937669826","https://openalex.org/W1964570608","https://openalex.org/W1976391658","https://openalex.org/W1993335267","https://openalex.org/W2004207873","https://openalex.org/W2012749606","https://openalex.org/W2015548667","https://openalex.org/W2027878671","https://openalex.org/W2049418899","https://openalex.org/W2052954580","https://openalex.org/W2063069198","https://openalex.org/W2063790512","https://openalex.org/W2070424424","https://openalex.org/W2071190035","https://openalex.org/W2084252873","https://openalex.org/W2093985867","https://openalex.org/W2098295833","https://openalex.org/W2105316359","https://openalex.org/W2114486983","https://openalex.org/W2122976738","https://openalex.org/W2125298866","https://openalex.org/W2127062304","https://openalex.org/W2153753491","https://openalex.org/W2157321686","https://openalex.org/W2163886442","https://openalex.org/W2164278908","https://openalex.org/W2295820431","https://openalex.org/W2311995462","https://openalex.org/W2323672905","https://openalex.org/W2340706123","https://openalex.org/W2548105160","https://openalex.org/W2595039229","https://openalex.org/W2617737158","https://openalex.org/W2773194520","https://openalex.org/W2792167075","https://openalex.org/W2884781614","https://openalex.org/W2900923437","https://openalex.org/W2950767783","https://openalex.org/W2978575553","https://openalex.org/W2985171336","https://openalex.org/W2988497343","https://openalex.org/W3031385348","https://openalex.org/W3092436149","https://openalex.org/W3099751232","https://openalex.org/W3128307242","https://openalex.org/W4233760599","https://openalex.org/W4312258136","https://openalex.org/W6675873571"],"related_works":["https://openalex.org/W2132083814","https://openalex.org/W2045881363","https://openalex.org/W2161305109","https://openalex.org/W2509955295","https://openalex.org/W2574002037","https://openalex.org/W3137366742","https://openalex.org/W1988337847","https://openalex.org/W2787398805","https://openalex.org/W2594294444","https://openalex.org/W2572092625"],"abstract_inverted_index":{"Given":[0],"a":[1,16,40],"spectral":[2,25,67],"library,":[3],"sparse":[4,32,51],"unmixing":[5,33,52],"aims":[6],"to":[7,46],"estimate":[8],"the":[9,21,29,48,62,71,89,92,95,100,103,120,135],"fractional":[10],"proportions":[11],"in":[12,91],"each":[13,66],"pixel":[14],"of":[15,24,31,50,65,102,137],"hyperspectral":[17,96],"image":[18],"scene.":[19,97],"However,":[20],"ever-growing":[22],"dimensionality":[23],"dictionaries":[26],"strongly":[27],"limits":[28],"performance":[30,49,101],"algorithms.":[34],"In":[35,79],"this":[36,80],"study,":[37],"we":[38,82],"propose":[39],"novel":[41],"dictionary":[42,68,93,105,126],"pruning":[43,106,127],"(DP)":[44],"approach":[45,107],"improve":[47],"algorithms,":[53],"making":[54],"them":[55],"more":[56],"accurate":[57],"and":[58,113,131,133],"time-efficient.":[59],"We":[60,98,117],"quantify":[61],"relative":[63],"importance":[64],"atom":[69],"using":[70],"total":[72],"utility":[73],"metric":[74],"at":[75],"virtually":[76],"no":[77],"cost.":[78],"way,":[81],"have":[83],"quantitative":[84],"insights":[85],"into":[86],"how":[87],"well":[88],"elements":[90],"represent":[94],"evaluate":[99],"proposed":[104,139],"on":[108],"several":[109],"simulated":[110],"data":[111],"sets":[112],"one":[114],"real":[115],"data.":[116],"also":[118],"compare":[119],"experimental":[121,143],"results":[122],"with":[123],"two":[124],"well-known":[125],"methods":[128],"both":[129],"visually":[130],"quantitatively":[132],"demonstrate":[134],"superiority":[136],"our":[138],"method":[140],"through":[141],"extensive":[142],"analysis.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
