{"id":"https://openalex.org/W2126972815","doi":"https://doi.org/10.1109/igarss.2011.6049828","title":"Dimension reduction of hyperspectral images with sparse linear discriminant analysis","display_name":"Dimension reduction of hyperspectral images with sparse linear discriminant analysis","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2126972815","doi":"https://doi.org/10.1109/igarss.2011.6049828","mag":"2126972815"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2011.6049828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2011.6049828","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Geoscience and Remote Sensing Symposium","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/A5100679846","display_name":"Jiming Li","orcid":"https://orcid.org/0009-0000-2964-8650"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiming Li","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, China","College of Computer Science Zhejiang University Hangzhou 310027 China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Computer Science Zhejiang University Hangzhou 310027 China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059857918","display_name":"Yuntao Qian","orcid":"https://orcid.org/0000-0002-7418-5891"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuntao Qian","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, China","College of Computer Science Zhejiang University Hangzhou 310027 China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Computer Science Zhejiang University Hangzhou 310027 China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":3.0873,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.92957451,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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":0.994700014591217,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9901999831199646,"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":0.8507218360900879},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.8187557458877563},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7445790767669678},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7180798053741455},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6351784467697144},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.6202608942985535},{"id":"https://openalex.org/keywords/optimal-discriminant-analysis","display_name":"Optimal discriminant analysis","score":0.5454344153404236},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4859958589076996},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4725472629070282},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4697960615158081},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.44235605001449585},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.43922698497772217},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.43228501081466675},{"id":"https://openalex.org/keywords/kernel-fisher-discriminant-analysis","display_name":"Kernel Fisher discriminant analysis","score":0.4169410765171051},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.41595563292503357},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.2852937877178192},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22994869947433472}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8507218360900879},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.8187557458877563},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7445790767669678},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7180798053741455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6351784467697144},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.6202608942985535},{"id":"https://openalex.org/C104500394","wikidata":"https://www.wikidata.org/wiki/Q17104912","display_name":"Optimal discriminant analysis","level":3,"score":0.5454344153404236},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4859958589076996},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4725472629070282},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4697960615158081},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.44235605001449585},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.43922698497772217},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.43228501081466675},{"id":"https://openalex.org/C181367576","wikidata":"https://www.wikidata.org/wiki/Q6394184","display_name":"Kernel Fisher discriminant analysis","level":4,"score":0.4169410765171051},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.41595563292503357},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.2852937877178192},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22994869947433472},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2011.6049828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2011.6049828","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W235732098","https://openalex.org/W2027717478","https://openalex.org/W2089322632","https://openalex.org/W2122825543","https://openalex.org/W2157321686","https://openalex.org/W3150214740","https://openalex.org/W6657609197"],"related_works":["https://openalex.org/W2141981133","https://openalex.org/W1963649114","https://openalex.org/W2068218029","https://openalex.org/W1978302214","https://openalex.org/W2025089370","https://openalex.org/W2162393942","https://openalex.org/W1984472287","https://openalex.org/W3147024994","https://openalex.org/W1741177776","https://openalex.org/W2371177901"],"abstract_inverted_index":{"Hyperspectral":[0],"imagery":[1],"generally":[2],"contains":[3],"enormous":[4,28],"amounts":[5],"of":[6,11,24,42,91,118],"data":[7,18,37,101],"due":[8],"to":[9],"hundreds":[10],"spectral":[12,93,136],"bands.":[13],"Classification":[14],"for":[15,35],"these":[16],"high-dimensional":[17],"often":[19],"requires":[20],"a":[21,48],"large":[22],"set":[23],"training":[25],"samples":[26],"and":[27,97,116,133],"processing":[29],"time.":[30],"Therefore,":[31,89],"dimension":[32,49],"reduction":[33,50],"methods":[34],"hyperspectral":[36,63],"are":[38],"catching":[39],"the":[40,71,78,92,108,114],"attention":[41],"researchers":[43],"lately.":[44],"In":[45],"this":[46],"paper,":[47],"method":[51],"based":[52],"on":[53,62,70,113],"sparse":[54,82,124],"penalty":[55,69],"regularized":[56],"linear":[57,83,125],"discriminant":[58,73,84,126],"analysis":[59,74,112,127],"was":[60],"experimented":[61],"data.":[64],"Through":[65],"imposing":[66],"sparsity":[67,115],"regularization":[68],"Fisher's":[72],"projection":[75],"matrix":[76],"via":[77],"optimal":[79],"scoring":[80],"technique,":[81],"vectors":[85],"can":[86,103,128],"be":[87,104],"achieved.":[88],"interpretability":[90,134],"bands'":[94],"physical":[95],"meaning":[96],"effective":[98],"low":[99,119],"dimensional":[100,120],"transforming":[102],"achieved":[105],"simultaneously":[106],"in":[107,135],"same":[109],"model.":[110],"Experimental":[111],"efficacy":[117],"outputs":[121],"showed":[122],"that,":[123],"yield":[129],"good":[130],"classification":[131],"results":[132],"domain.":[137]},"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":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}