{"id":"https://openalex.org/W2104453356","doi":"https://doi.org/10.1109/tgrs.2012.2204759","title":"Classification and Reconstruction From Random Projections for Hyperspectral Imagery","display_name":"Classification and Reconstruction From Random Projections for Hyperspectral Imagery","publication_year":2012,"publication_date":"2012-07-17","ids":{"openalex":"https://openalex.org/W2104453356","doi":"https://doi.org/10.1109/tgrs.2012.2204759","mag":"2104453356"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2012.2204759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2012.2204759","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/A5100317957","display_name":"Wei Li","orcid":"https://orcid.org/0000-0001-5192-4914"},"institutions":[{"id":"https://openalex.org/I4210117728","display_name":"Center For Remote Sensing (United States)","ror":"https://ror.org/021wvg932","country_code":"US","type":"company","lineage":["https://openalex.org/I4210117728"]},{"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":["Center for Spatial Technologies and Remote Sensing, University of California, Davis, CA, USA","Spatial Technol. & Remote Sensing, Univ. of California, Davis, Davis, CA, USA"],"affiliations":[{"raw_affiliation_string":"Center for Spatial Technologies and Remote Sensing, University of California, Davis, CA, USA","institution_ids":["https://openalex.org/I4210117728","https://openalex.org/I84218800"]},{"raw_affiliation_string":"Spatial Technol. & Remote Sensing, Univ. of California, Davis, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"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, 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, 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 and Computer Engineering, Mississippi State University, Starkville, MS, USA","Dept. of Electr. & Comput. Eng., Mississippi State Univ., Starkville, MS, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, Starkville, 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":3,"corresponding_author_ids":["https://openalex.org/A5100317957"],"corresponding_institution_ids":["https://openalex.org/I4210117728","https://openalex.org/I84218800"],"apc_list":null,"apc_paid":null,"fwci":4.8966,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.95353738,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"51","issue":"2","first_page":"833","last_page":"843"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9979000091552734,"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":0.8643573522567749},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7271915078163147},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7228822708129883},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6780796647071838},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6559324264526367},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6418567895889282},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.599926769733429},{"id":"https://openalex.org/keywords/random-projection","display_name":"Random projection","score":0.5998644828796387},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5987613201141357},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5657954812049866},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5384964346885681},{"id":"https://openalex.org/keywords/projection-pursuit","display_name":"Projection pursuit","score":0.4837208092212677},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4739254415035248},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4439528286457062},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18220672011375427}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8643573522567749},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7271915078163147},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7228822708129883},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6780796647071838},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6559324264526367},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6418567895889282},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.599926769733429},{"id":"https://openalex.org/C2777036070","wikidata":"https://www.wikidata.org/wiki/Q18393452","display_name":"Random projection","level":2,"score":0.5998644828796387},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5987613201141357},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5657954812049866},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5384964346885681},{"id":"https://openalex.org/C118038509","wikidata":"https://www.wikidata.org/wiki/Q382970","display_name":"Projection pursuit","level":2,"score":0.4837208092212677},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4739254415035248},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4439528286457062},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18220672011375427}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2012.2204759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2012.2204759","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:10.1.1.432.7747","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.432.7747","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/LPF2013.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W38565172","https://openalex.org/W1489608363","https://openalex.org/W1531259569","https://openalex.org/W1972023071","https://openalex.org/W1986931325","https://openalex.org/W1996213136","https://openalex.org/W2002498099","https://openalex.org/W2018686979","https://openalex.org/W2019794334","https://openalex.org/W2024050645","https://openalex.org/W2034442194","https://openalex.org/W2037757210","https://openalex.org/W2046472904","https://openalex.org/W2053186076","https://openalex.org/W2054991605","https://openalex.org/W2059586807","https://openalex.org/W2069231830","https://openalex.org/W2071284784","https://openalex.org/W2084591647","https://openalex.org/W2088658556","https://openalex.org/W2119667497","https://openalex.org/W2120184245","https://openalex.org/W2120961178","https://openalex.org/W2121947440","https://openalex.org/W2126131432","https://openalex.org/W2129638195","https://openalex.org/W2144151128","https://openalex.org/W2145856765","https://openalex.org/W2149631607","https://openalex.org/W2151599207","https://openalex.org/W2168175751","https://openalex.org/W2296616510","https://openalex.org/W2511885285","https://openalex.org/W2596585349","https://openalex.org/W2979473749","https://openalex.org/W4246050513","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2292979300","https://openalex.org/W54635551","https://openalex.org/W2790862734","https://openalex.org/W2515532094","https://openalex.org/W345943785","https://openalex.org/W2141406155","https://openalex.org/W3015962327","https://openalex.org/W2611813480","https://openalex.org/W2119226345","https://openalex.org/W1974715691"],"abstract_inverted_index":{"There":[0],"is":[1,21,78,113],"increasing":[2],"interest":[3],"in":[4,11,146],"dimensionality":[5],"reduction":[6],"through":[7],"random":[8,27,70,154],"projections":[9,28],"due":[10],"part":[12],"to":[13,130,135],"the":[14,64,99,136,141],"emerging":[15],"paradigm":[16],"of":[17,66,83,150],"compressed":[18],"sensing.":[19],"It":[20],"anticipated":[22],"that":[23,39,122],"signal":[24],"acquisition":[25],"with":[26],"will":[29],"decrease":[30],"signal-sensing":[31],"costs":[32],"significantly;":[33],"moreover,":[34],"it":[35],"has":[36],"been":[37],"demonstrated":[38],"both":[40],"supervised":[41,91],"and":[42],"unsupervised":[43,95],"statistical":[44],"learning":[45],"algorithms":[46],"work":[47],"reliably":[48],"within":[49,116],"randomly":[50],"projected":[51],"subspaces.":[52],"Capitalizing":[53],"on":[54],"this":[55,73],"latter":[56],"development,":[57],"several":[58,84],"class-dependent":[59,124],"strategies":[60],"are":[61],"proposed":[62],"for":[63],"reconstruction":[65,104],"hyperspectral":[67,76,151],"imagery":[68],"from":[69,153],"projections.":[71,155],"In":[72],"approach,":[74],"each":[75,117,131],"pixel":[77,85],"first":[79],"classified":[80],"into":[81],"one":[82],"groups":[86],"using":[87],"either":[88],"a":[89,102],"conventional":[90],"classifier":[92],"or":[93],"an":[94],"clustering":[96],"algorithm.":[97],"After":[98],"grouping":[100],"procedure,":[101],"suitable":[103],"method,":[105],"such":[106,123],"as":[107,133],"compressive":[108],"projection":[109],"principal":[110],"component":[111],"analysis,":[112],"employed":[114],"independently":[115],"group.":[118],"Experimental":[119],"results":[120,145],"confirm":[121],"reconstruction,":[125],"which":[126],"employs":[127],"statistics":[128,138],"pertinent":[129],"class":[132],"opposed":[134],"global":[137],"estimated":[139],"over":[140],"entire":[142],"data":[143],"set,":[144],"more":[147],"accurate":[148],"reconstructions":[149],"pixels":[152]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}