{"id":"https://openalex.org/W2122367764","doi":"https://doi.org/10.1109/igarss.2008.4779058","title":"Sparse Representations for Hyperspectral Data Classification","display_name":"Sparse Representations for Hyperspectral Data Classification","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2122367764","doi":"https://doi.org/10.1109/igarss.2008.4779058","mag":"2122367764"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2008.4779058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2008.4779058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-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/A5009297900","display_name":"Salman Siddiqui","orcid":"https://orcid.org/0000-0003-3770-7870"},"institutions":[{"id":"https://openalex.org/I166088655","display_name":"Montclair State University","ror":"https://ror.org/01nxc2t48","country_code":"US","type":"education","lineage":["https://openalex.org/I166088655"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Salman Siddiqui","raw_affiliation_strings":["Montclair State University, USA","\u2020Montclair State University, Montclair, NJ"],"affiliations":[{"raw_affiliation_string":"Montclair State University, USA","institution_ids":["https://openalex.org/I166088655"]},{"raw_affiliation_string":"\u2020Montclair State University, Montclair, NJ","institution_ids":["https://openalex.org/I166088655"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039219305","display_name":"Stefan A. Robila","orcid":"https://orcid.org/0000-0001-6464-1446"},"institutions":[{"id":"https://openalex.org/I166088655","display_name":"Montclair State University","ror":"https://ror.org/01nxc2t48","country_code":"US","type":"education","lineage":["https://openalex.org/I166088655"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stefan Robila","raw_affiliation_strings":["Montclair State University, USA","\u2020Montclair State University, Montclair, NJ"],"affiliations":[{"raw_affiliation_string":"Montclair State University, USA","institution_ids":["https://openalex.org/I166088655"]},{"raw_affiliation_string":"\u2020Montclair State University, Montclair, NJ","institution_ids":["https://openalex.org/I166088655"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101892033","display_name":"Jing Peng","orcid":"https://orcid.org/0000-0001-8822-310X"},"institutions":[{"id":"https://openalex.org/I166088655","display_name":"Montclair State University","ror":"https://ror.org/01nxc2t48","country_code":"US","type":"education","lineage":["https://openalex.org/I166088655"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Peng","raw_affiliation_strings":["Montclair State University, USA","\u2020Montclair State University, Montclair, NJ"],"affiliations":[{"raw_affiliation_string":"Montclair State University, USA","institution_ids":["https://openalex.org/I166088655"]},{"raw_affiliation_string":"\u2020Montclair State University, Montclair, NJ","institution_ids":["https://openalex.org/I166088655"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024044743","display_name":"Dajin Wang","orcid":"https://orcid.org/0000-0003-4247-3909"},"institutions":[{"id":"https://openalex.org/I166088655","display_name":"Montclair State University","ror":"https://ror.org/01nxc2t48","country_code":"US","type":"education","lineage":["https://openalex.org/I166088655"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dajin Wang","raw_affiliation_strings":["Montclair State University, USA","\u2020Montclair State University, Montclair, NJ"],"affiliations":[{"raw_affiliation_string":"Montclair State University, USA","institution_ids":["https://openalex.org/I166088655"]},{"raw_affiliation_string":"\u2020Montclair State University, Montclair, NJ","institution_ids":["https://openalex.org/I166088655"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5009297900"],"corresponding_institution_ids":["https://openalex.org/I166088655"],"apc_list":null,"apc_paid":null,"fwci":1.796,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.86585366,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"37","issue":null,"first_page":"II","last_page":"577"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9962999820709229,"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":0.9896000027656555,"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":0.8172741532325745},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.8037161231040955},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7541966438293457},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6916364431381226},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6611679792404175},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6373304128646851},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6014790534973145},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5866669416427612},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.556511640548706},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5263732075691223},{"id":"https://openalex.org/keywords/sparse-pca","display_name":"Sparse PCA","score":0.5057921409606934},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.48951566219329834},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4549526572227478},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45286107063293457}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8172741532325745},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.8037161231040955},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7541966438293457},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6916364431381226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6611679792404175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6373304128646851},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6014790534973145},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5866669416427612},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.556511640548706},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5263732075691223},{"id":"https://openalex.org/C24252448","wikidata":"https://www.wikidata.org/wiki/Q7573786","display_name":"Sparse PCA","level":3,"score":0.5057921409606934},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.48951566219329834},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4549526572227478},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45286107063293457},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2008.4779058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2008.4779058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","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":20,"referenced_works":["https://openalex.org/W628438000","https://openalex.org/W1532610010","https://openalex.org/W1947741949","https://openalex.org/W1967073510","https://openalex.org/W1975900269","https://openalex.org/W1976381494","https://openalex.org/W1976990135","https://openalex.org/W2000895242","https://openalex.org/W2113600901","https://openalex.org/W2135046866","https://openalex.org/W2141261622","https://openalex.org/W2144188273","https://openalex.org/W2144629557","https://openalex.org/W2159509001","https://openalex.org/W2171270653","https://openalex.org/W2615253071","https://openalex.org/W2912522929","https://openalex.org/W2952736586","https://openalex.org/W3120740533","https://openalex.org/W6680156768"],"related_works":["https://openalex.org/W1576424959","https://openalex.org/W2788769272","https://openalex.org/W2883439616","https://openalex.org/W4298392988","https://openalex.org/W2232685869","https://openalex.org/W2767938386","https://openalex.org/W4234877896","https://openalex.org/W2949527996","https://openalex.org/W2891166804","https://openalex.org/W6057950"],"abstract_inverted_index":{"We":[0],"investigate":[1],"the":[2,42,72,98,104,117,121,134,137],"use":[3],"of":[4,38,70,95,97,106,116],"sparse":[5,107,127,149],"principal":[6,101,128],"components":[7,102,129],"for":[8,34,145],"representing":[9],"hyperspectral":[10,57,146],"imagery":[11],"when":[12],"performing":[13],"feature":[14,31,48,59,73,77],"selection.":[15],"For":[16],"conventional":[17],"multispectral":[18],"data":[19,140],"with":[20,56],"low":[21],"dimensionality,":[22],"dimension":[23],"reduction":[24],"can":[25],"be":[26],"achieved":[27],"by":[28,47],"using":[29],"traditional":[30],"selection":[32,60],"techniques":[33,50],"producing":[35],"a":[36,62,110],"subset":[37,74],"features":[39],"that":[40,113,126],"provide":[41],"highest":[43],"class":[44],"separability,":[45],"or":[46,93],"extraction":[49,78],"via":[51],"linear":[52,91],"transformation.":[53],"When":[54],"dealing":[55],"data,":[58],"is":[61,83],"time":[63],"consuming":[64],"task,":[65],"often":[66],"requiring":[67],"exhaustive":[68],"search":[69],"all":[71,96],"combinations.":[75],"Instead,":[76],"technique":[79],"such":[80],"as":[81],"PCA":[82,87],"commonly":[84],"used.":[85],"Unfortunately,":[86],"usually":[88],"involves":[89],"non-zero":[90],"combinations":[92],"'loadings'":[94],"data.":[99,122,138],"Sparse":[100,139],"are":[103,142],"sets":[105],"vectors":[108],"spanning":[109],"low-dimensional":[111],"space":[112],"explain":[114],"most":[115],"variance":[118,135],"present":[119],"in":[120,136,152,156],"Our":[123],"experiments":[124],"show":[125],"having":[130],"low-dimensionality":[131],"still":[132],"characterize":[133],"representations":[141,150],"generally":[143],"desirable":[144],"images":[147],"because":[148],"help":[151],"human":[153],"understanding":[154],"and":[155],"classification.":[157]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
