{"id":"https://openalex.org/W2127152713","doi":"https://doi.org/10.1109/tgrs.2013.2241773","title":"Nearest Regularized Subspace for Hyperspectral Classification","display_name":"Nearest Regularized Subspace for Hyperspectral Classification","publication_year":2013,"publication_date":"2013-12-04","ids":{"openalex":"https://openalex.org/W2127152713","doi":"https://doi.org/10.1109/tgrs.2013.2241773","mag":"2127152713"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2013.2241773","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2013.2241773","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","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/A5100317994","display_name":"Wei Li","orcid":"https://orcid.org/0000-0001-7015-7335"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wei Li","raw_affiliation_strings":["University of California, Davis, Davis, CA, USA","University of California Davis  Davis CA USA"],"affiliations":[{"raw_affiliation_string":"University of California, Davis, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]},{"raw_affiliation_string":"University of California Davis  Davis CA USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073052384","display_name":"Eric W. Tramel","orcid":"https://orcid.org/0000-0003-4346-0042"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric W. Tramel","raw_affiliation_strings":["Department of Electrical & Computer Engineering and the Geosystems Research Institute, Mississippi State University, Mississippi State, MS, USA","Dept. of Electr. & Comput. Eng., Mississippi State Univ., Starkville, MS, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering and the Geosystems Research Institute, Mississippi State University, Mississippi State, MS, USA","institution_ids":["https://openalex.org/I99041443"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Mississippi State Univ., Starkville, MS, USA#TAB#","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037823063","display_name":"Saurabh Prasad","orcid":"https://orcid.org/0000-0003-3729-9360"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saurabh Prasad","raw_affiliation_strings":["Department of Electrical and Computer Engineering at the University of Houston, Houston, TX, USA","Dept. of Electr. & Comput. Eng., Univ. Of Houston, Houston, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering at the University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Univ. Of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078795882","display_name":"James E. Fowler","orcid":"https://orcid.org/0000-0003-2005-405X"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James E. Fowler","raw_affiliation_strings":["Department of Electrical & Computer Engineering and the Geosystems Research Institute, Mississippi State University, Mississippi State, MS, USA","Dept. of Electr. & Comput. Eng., Mississippi State Univ., Starkville, MS, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering and the Geosystems Research Institute, Mississippi State University, Mississippi State, MS, USA","institution_ids":["https://openalex.org/I99041443"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Mississippi State Univ., Starkville, MS, USA#TAB#","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100317994"],"corresponding_institution_ids":["https://openalex.org/I84218800"],"apc_list":null,"apc_paid":null,"fwci":30.8287,"has_fulltext":false,"cited_by_count":228,"citation_normalized_percentile":{"value":0.99731993,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"52","issue":"1","first_page":"477","last_page":"489"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9980999827384949,"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":0.9919000267982483,"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/tikhonov-regularization","display_name":"Tikhonov regularization","score":0.8532456159591675},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.8303452134132385},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8045669794082642},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7535061836242676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6327000260353088},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5961402058601379},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5487037301063538},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5321976542472839},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5255386233329773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4609888195991516},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19628959894180298},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.11648634076118469}],"concepts":[{"id":"https://openalex.org/C152442038","wikidata":"https://www.wikidata.org/wiki/Q2778212","display_name":"Tikhonov regularization","level":3,"score":0.8532456159591675},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.8303452134132385},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8045669794082642},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7535061836242676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6327000260353088},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5961402058601379},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5487037301063538},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5321976542472839},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5255386233329773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4609888195991516},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19628959894180298},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.11648634076118469},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tgrs.2013.2241773","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2013.2241773","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.433.619","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.433.619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ece.msstate.edu/~fowler/Publications/Papers/LTP2014.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.703.6880","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.703.6880","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.cs.buct.edu.cn/liwei/Lee_Journals/2014/2014_TGRS_NRS.pdf?arnumber%3D6472065%26queryText%3DNearest+Regularized+Subspace+for+Hyperspectral+Classification","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320322874","display_name":"Universit\u00e0 degli Studi di Pavia","ror":"https://ror.org/00s6t1f81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1976935203","https://openalex.org/W1986931325","https://openalex.org/W1997565609","https://openalex.org/W2009835454","https://openalex.org/W2038930744","https://openalex.org/W2067983477","https://openalex.org/W2069231830","https://openalex.org/W2072916379","https://openalex.org/W2073704957","https://openalex.org/W2089381226","https://openalex.org/W2097915756","https://openalex.org/W2103115408","https://openalex.org/W2106053110","https://openalex.org/W2109531142","https://openalex.org/W2111048499","https://openalex.org/W2112589365","https://openalex.org/W2119862467","https://openalex.org/W2129812935","https://openalex.org/W2132467081","https://openalex.org/W2132532785","https://openalex.org/W2135046866","https://openalex.org/W2136251662","https://openalex.org/W2146611644","https://openalex.org/W2147590979","https://openalex.org/W2149846618","https://openalex.org/W2150409012","https://openalex.org/W2151288205","https://openalex.org/W2151599207","https://openalex.org/W2154240401","https://openalex.org/W2162698522","https://openalex.org/W2163802728","https://openalex.org/W2164437025","https://openalex.org/W2171171329","https://openalex.org/W2171566342","https://openalex.org/W2612972698","https://openalex.org/W3014771378","https://openalex.org/W4205687621","https://openalex.org/W6675751002","https://openalex.org/W6676189307"],"related_works":["https://openalex.org/W2337734184","https://openalex.org/W2388364587","https://openalex.org/W2322955667","https://openalex.org/W2373176546","https://openalex.org/W2127000180","https://openalex.org/W2050033254","https://openalex.org/W2561531189","https://openalex.org/W2152224705","https://openalex.org/W2385735574","https://openalex.org/W2057439054"],"abstract_inverted_index":{"A":[0],"classifier":[1,19],"that":[2],"couples":[3],"nearest-subspace":[4],"classification":[5,102],"with":[6],"a":[7,28,64,69],"distance-weighted":[8,54],"Tikhonov":[9,55],"regularization":[10,56],"is":[11,40,57,75],"proposed":[12,76,94],"for":[13,83],"hyperspectral":[14,85],"imagery.":[15],"The":[16,37,53],"resulting":[17],"nearest-regularized-subspace":[18],"seeks":[20],"an":[21],"approximation":[22],"of":[23,31,92],"each":[24,35],"testing":[25],"sample":[26],"via":[27],"linear":[29],"combination":[30],"training":[32],"samples":[33],"within":[34,63],"class.":[36],"class":[38,46],"label":[39],"then":[41,58],"derived":[42],"according":[43],"to":[44,77,98],"the":[45,50,73,93],"which":[47],"best":[48],"approximates":[49],"test":[51],"sample.":[52],"modified":[59],"by":[60],"measuring":[61],"distance":[62],"locality-preserving":[65],"lower-dimensional":[66],"subspace.":[67],"Furthermore,":[68],"competitive":[70],"process":[71],"among":[72],"classes":[74],"simplify":[78],"parameter":[79],"tuning.":[80],"Classification":[81],"results":[82],"several":[84],"image":[86],"data":[87],"sets":[88],"demonstrate":[89],"superior":[90],"performance":[91],"approach":[95],"when":[96],"compared":[97],"other,":[99],"more":[100],"traditional":[101],"techniques.":[103]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":22},{"year":2019,"cited_by_count":29},{"year":2018,"cited_by_count":33},{"year":2017,"cited_by_count":29},{"year":2016,"cited_by_count":29},{"year":2015,"cited_by_count":17},{"year":2014,"cited_by_count":15},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}