{"id":"https://openalex.org/W2074220529","doi":"https://doi.org/10.1109/igarss.2013.6723053","title":"Feature extraction for hyperspectral data based on MNF and singular value decomposition","display_name":"Feature extraction for hyperspectral data based on MNF and singular value decomposition","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2074220529","doi":"https://doi.org/10.1109/igarss.2013.6723053","mag":"2074220529"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2013.6723053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6723053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS","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/A5042729155","display_name":"Junzheng Wu","orcid":"https://orcid.org/0000-0002-1267-3523"},"institutions":[{"id":"https://openalex.org/I4210151975","display_name":"Northwest Institute of Nuclear Technology","ror":"https://ror.org/04svrh266","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210151975"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun-zheng Wu","raw_affiliation_strings":["Northwest Institute of Nuclear Technology, Xi'an, Shaanxi, China","Northwest Inst. of Nucl. Technol., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwest Institute of Nuclear Technology, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I4210151975"]},{"raw_affiliation_string":"Northwest Inst. of Nucl. Technol., Xi'an, China","institution_ids":["https://openalex.org/I4210151975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050761437","display_name":"Weidong Yan","orcid":"https://orcid.org/0000-0003-1226-8621"},"institutions":[{"id":"https://openalex.org/I4210151975","display_name":"Northwest Institute of Nuclear Technology","ror":"https://ror.org/04svrh266","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210151975"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-dong Yan","raw_affiliation_strings":["Northwest Institute of Nuclear Technology, Xi'an, Shaanxi, China","Northwest Inst. of Nucl. Technol., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwest Institute of Nuclear Technology, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I4210151975"]},{"raw_affiliation_string":"Northwest Inst. of Nucl. Technol., Xi'an, China","institution_ids":["https://openalex.org/I4210151975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102013700","display_name":"Weiping Ni","orcid":"https://orcid.org/0000-0002-0640-3922"},"institutions":[{"id":"https://openalex.org/I4210151975","display_name":"Northwest Institute of Nuclear Technology","ror":"https://ror.org/04svrh266","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210151975"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-ping Ni","raw_affiliation_strings":["Northwest Institute of Nuclear Technology, Xi'an, Shaanxi, China","Northwest Inst. of Nucl. Technol., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwest Institute of Nuclear Technology, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I4210151975"]},{"raw_affiliation_string":"Northwest Inst. of Nucl. Technol., Xi'an, China","institution_ids":["https://openalex.org/I4210151975"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100945435","display_name":"Bian Hui","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151975","display_name":"Northwest Institute of Nuclear Technology","ror":"https://ror.org/04svrh266","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210151975"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Bian","raw_affiliation_strings":["Northwest Institute of Nuclear Technology, Xi'an, Shaanxi, China","Northwest Inst. of Nucl. Technol., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwest Institute of Nuclear Technology, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I4210151975"]},{"raw_affiliation_string":"Northwest Inst. of Nucl. Technol., Xi'an, China","institution_ids":["https://openalex.org/I4210151975"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5042729155"],"corresponding_institution_ids":["https://openalex.org/I4210151975"],"apc_list":null,"apc_paid":null,"fwci":0.4818,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.71805816,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1430","last_page":"1433"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9991999864578247,"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"}},{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9641000032424927,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/singular-value-decomposition","display_name":"Singular value decomposition","score":0.8472630977630615},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7454662322998047},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6912564039230347},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6878628730773926},{"id":"https://openalex.org/keywords/singular-value","display_name":"Singular value","score":0.5731875896453857},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5640759468078613},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5361812710762024},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5310630798339844},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.49776625633239746},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4968736469745636},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4749072790145874},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.45600685477256775},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45222359895706177},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4270251989364624},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.420063316822052},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.2709556221961975},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.25079917907714844},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.11162152886390686},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11014676094055176},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.09810799360275269},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08407151699066162}],"concepts":[{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.8472630977630615},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7454662322998047},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6912564039230347},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6878628730773926},{"id":"https://openalex.org/C109282560","wikidata":"https://www.wikidata.org/wiki/Q4166054","display_name":"Singular value","level":3,"score":0.5731875896453857},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5640759468078613},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5361812710762024},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5310630798339844},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.49776625633239746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4968736469745636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4749072790145874},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.45600685477256775},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45222359895706177},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4270251989364624},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.420063316822052},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.2709556221961975},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25079917907714844},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.11162152886390686},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11014676094055176},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.09810799360275269},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08407151699066162},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"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.2013.6723053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6723053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS","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":8,"referenced_works":["https://openalex.org/W2043665634","https://openalex.org/W2074342013","https://openalex.org/W2102539213","https://openalex.org/W2136625467","https://openalex.org/W2151974244","https://openalex.org/W2154255569","https://openalex.org/W2388325899","https://openalex.org/W4320339642"],"related_works":["https://openalex.org/W2292979300","https://openalex.org/W4319586039","https://openalex.org/W4382583540","https://openalex.org/W2147072251","https://openalex.org/W2148568324","https://openalex.org/W1607100495","https://openalex.org/W4386721910","https://openalex.org/W4378770618","https://openalex.org/W2164147222","https://openalex.org/W2038393145"],"abstract_inverted_index":{"Feature":[0],"extraction":[1,68,127],"acts":[2],"a":[3,66],"crucial":[4],"role":[5],"in":[6,25,139],"application":[7],"and":[8,13,73,95,105,143],"research":[9],"of":[10,20,29,37,54,100,113],"hyperspectral":[11,119],"data":[12,88,120],"minimum":[14],"noise":[15,30],"fraction":[16],"(MNF)":[17],"is":[18,33],"one":[19],"the":[21,50,63,86,96,129],"most":[22],"common":[23],"methods":[24,142],"feature":[26,67,111,126],"extraction.":[27],"Estimation":[28],"covariance":[31],"matrix":[32],"an":[34],"inevitable":[35],"step":[36],"MNF,":[38],"but":[39],"it":[40],"would":[41,45],"bring":[42],"error":[43],"which":[44],"lead":[46],"imprecise":[47],"while":[48],"using":[49],"first":[51,81,97],"some":[52,98],"components":[53,99,112],"MNF":[55,72,79,138],"transform":[56],"to":[57],"represent":[58],"original":[59,114],"data.":[60,115],"To":[61],"solve":[62],"problem":[64],"above,":[65],"method":[69,131],"based":[70],"on":[71,83],"singular":[74,92,103,106],"value":[75,93],"decomposition":[76],"was":[77,80,132],"proposed.":[78],"acted":[82],"data,":[84],"then,":[85],"transformed":[87],"were":[89,108],"decomposed":[90],"by":[91,128,136],"decomposition,":[94],"reconstruction":[101],"used":[102],"values":[104],"vectors":[107],"selected":[109],"as":[110],"Experiments":[116],"with":[117],"factual":[118],"indicated":[121],"that":[122],"classified":[123,141],"precision":[124],"after":[125],"proposed":[130],"higher":[133],"than":[134],"those":[135],"traditional":[137],"three":[140],"different":[144],"dimension.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}