{"id":"https://openalex.org/W2552220127","doi":"https://doi.org/10.1109/whispers.2012.6874290","title":"Discriminative dictionary design using LVQ for hyperspectral image classification","display_name":"Discriminative dictionary design using LVQ for hyperspectral image classification","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2552220127","doi":"https://doi.org/10.1109/whispers.2012.6874290","mag":"2552220127"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2012.6874290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2012.6874290","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS)","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/A5100419277","display_name":"Yi Chen","orcid":"https://orcid.org/0000-0002-9753-7087"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Chen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021852735","display_name":"Nasser M. Nasrabadi","orcid":"https://orcid.org/0000-0001-8730-627X"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nasser M. Nasrabadi","raw_affiliation_strings":["US Army Research Laboratory, Adelphi, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"US Army Research Laboratory, Adelphi, MD","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101413113","display_name":"Trac D. Tran","orcid":"https://orcid.org/0000-0002-0421-8416"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Trac D. Tran","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6555,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84986831,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"54","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9948999881744385,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.980400025844574,"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/discriminative-model","display_name":"Discriminative model","score":0.9114983081817627},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8125158548355103},{"id":"https://openalex.org/keywords/learning-vector-quantization","display_name":"Learning vector quantization","score":0.7964591979980469},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7654373645782471},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7591573596000671},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6629147529602051},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.5911341905593872},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5713469386100769},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.49451300501823425},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.4415043890476227},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.41652846336364746},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31954094767570496},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2558359205722809}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9114983081817627},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8125158548355103},{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.7964591979980469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7654373645782471},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7591573596000671},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6629147529602051},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.5911341905593872},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5713469386100769},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.49451300501823425},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.4415043890476227},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.41652846336364746},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31954094767570496},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2558359205722809}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2012.6874290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2012.6874290","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1890834058","https://openalex.org/W1976709621","https://openalex.org/W2084716923","https://openalex.org/W2097915756","https://openalex.org/W2127271355","https://openalex.org/W2128638419","https://openalex.org/W2129812935","https://openalex.org/W2160547390","https://openalex.org/W2953139536","https://openalex.org/W4245176872","https://openalex.org/W6678757208"],"related_works":["https://openalex.org/W4243803532","https://openalex.org/W1530525041","https://openalex.org/W4244998381","https://openalex.org/W2352648934","https://openalex.org/W4230688072","https://openalex.org/W1915693853","https://openalex.org/W2378212145","https://openalex.org/W2798892016","https://openalex.org/W2100492357","https://openalex.org/W2202992072"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,33,39,46,75,86],"new":[6],"technique":[7,60,99],"for":[8,12,25],"discriminative":[9,63,81],"dictionary":[10,47,71,76],"learning":[11,21,59],"hyperspectral":[13,88],"image":[14],"classification.":[15],"The":[16,57],"proposed":[17,58,98],"algorithm":[18],"generalizes":[19],"the":[20,54,62,66,70,97],"vector":[22,52],"quantization":[23],"scheme":[24],"sparse":[26,40,50,67],"representation-based":[27],"classifiers.":[28],"It":[29],"is":[30],"known":[31],"that":[32,92],"pixel":[34],"can":[35],"be":[36],"represented":[37],"by":[38],"linear":[41],"combination":[42],"of":[43,65],"atoms":[44],"in":[45,69,103],"and":[48,80],"its":[49],"representation":[51],"contains":[53],"class":[55],"information.":[56],"utilizes":[61],"nature":[64],"vectors":[68],"updating":[72],"stage,":[73],"generating":[74],"with":[77],"both":[78],"reconstructive":[79],"capabilities.":[82],"Experimental":[83],"results":[84],"on":[85],"real":[87],"data":[89],"set":[90],"demonstrate":[91],"using":[93],"dictionaries":[94],"learned":[95],"from":[96],"improves":[100],"classification":[101],"performance":[102],"various":[104],"conditions.":[105]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}