{"id":"https://openalex.org/W2095705397","doi":"https://doi.org/10.1117/12.828397","title":"Hyperspectral detection algorithms: use covariances or subspaces?","display_name":"Hyperspectral detection algorithms: use covariances or subspaces?","publication_year":2009,"publication_date":"2009-07-21","ids":{"openalex":"https://openalex.org/W2095705397","doi":"https://doi.org/10.1117/12.828397","mag":"2095705397"},"language":"en","primary_location":{"id":"doi:10.1117/12.828397","doi":"https://doi.org/10.1117/12.828397","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.828397","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/1721.1/52735","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047800576","display_name":"Dimitris G. Manolakis","orcid":"https://orcid.org/0000-0003-1341-1522","observed_orcids":["https://orcid.org/0000-0003-1341-1522"]},"institutions":[{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Manolakis","raw_affiliation_strings":["MIT Lincoln Lab. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT Lincoln Lab. (United States)","institution_ids":["https://openalex.org/I4210122954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016017870","display_name":"Ronald B. Lockwood","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1280414376","display_name":"United States Air Force Research Laboratory","ror":"https://ror.org/02e2egq70","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280414376","https://openalex.org/I1330347796","https://openalex.org/I4210102105","https://openalex.org/I4389425425"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Lockwood","raw_affiliation_strings":["Air Force Research Lab, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Force Research Lab, United States","institution_ids":["https://openalex.org/I1280414376"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111468227","display_name":"THOMAS W. COOLEY","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1280414376","display_name":"United States Air Force Research Laboratory","ror":"https://ror.org/02e2egq70","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280414376","https://openalex.org/I1330347796","https://openalex.org/I4210102105","https://openalex.org/I4389425425"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T. Cooley","raw_affiliation_strings":["Air Force Research Lab, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Force Research Lab, United States","institution_ids":["https://openalex.org/I1280414376"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052632877","display_name":"John Jacobson","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210089612","display_name":"United States Air Force","ror":"https://ror.org/006gmme17","country_code":"US","type":"government","lineage":["https://openalex.org/I1330347796","https://openalex.org/I4210089612","https://openalex.org/I4210102105"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Jacobson","raw_affiliation_strings":["National Air and Space Intelligence Ctr. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Air and Space Intelligence Ctr. (United States)","institution_ids":["https://openalex.org/I4210089612"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6406,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.8469183,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"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":0.9810000061988831,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9810000061988831,"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"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.004000000189989805,"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"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.00139999995008111,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/background-clutter","display_name":"background clutter","score":0.5709999799728394},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"covariance matrix","score":0.8429999947547913},{"id":"https://openalex.org/keywords/subspace-models","display_name":"subspace models","score":0.7409999966621399},{"id":"https://openalex.org/keywords/low-rank-covariance","display_name":"low-rank covariance","score":0.9160000085830688},{"id":"https://openalex.org/keywords/regularization","display_name":"regularization","score":0.8960000276565552},{"id":"https://openalex.org/keywords/target-detection","display_name":"target detection","score":0.75}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8624883890151978},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.780396580696106},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.6382389664649963},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5552034974098206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3871568739414215},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34155312180519104},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11533525586128235},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.828397","doi":"https://doi.org/10.1117/12.828397","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.828397","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:dspace.mit.edu:1721.1/52735","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/52735","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SPIE","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:dspace.mit.edu:1721.1/52735","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/52735","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SPIE","raw_type":"Article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W653761051","https://openalex.org/W1515907226","https://openalex.org/W1525535255","https://openalex.org/W2062125287","https://openalex.org/W2067782748","https://openalex.org/W2110211064","https://openalex.org/W2477424298","https://openalex.org/W2749633415","https://openalex.org/W3147705998","https://openalex.org/W3173138228","https://openalex.org/W4206180546","https://openalex.org/W4236316114"],"related_works":["https://openalex.org/W2010132400","https://openalex.org/W2399561105","https://openalex.org/W2063040300","https://openalex.org/W2545554564","https://openalex.org/W2766287906","https://openalex.org/W2028757441","https://openalex.org/W2046049381","https://openalex.org/W2137362858","https://openalex.org/W4235106140","https://openalex.org/W2146948457"],"abstract_inverted_index":{"There":[0],"are":[1,57],"two":[2,53,64],"broad":[3],"classes":[4],"of":[5,20,48,55,66,73,77,97,104],"hyperspectral":[6,49,79],"detection":[7],"algorithms.1,":[8],"2":[9],"Algorithms":[10],"in":[11,24,27],"the":[12,16,21,28,32,46,52,63,67,71,74,85,95,102],"first":[13],"class":[14,30],"use":[15],"spectral":[17,86],"covariance":[18,75],"matrix":[19,76],"background":[22,33,68],"clutter;":[23],"contrast,":[25],"algorithms":[26,56],"second":[29],"characterize":[31],"using":[34,94],"a":[35],"subspace":[36],"model.":[37,89],"In":[38],"this":[39],"paper":[40],"we":[41],"show":[42],"that,":[43],"due":[44],"to":[45,84],"nature":[47],"imaging":[50],"data,":[51],"families":[54],"intimately":[58],"related.":[59],"The":[60],"link":[61,91],"between":[62],"representations":[65],"clutter":[69],"is":[70,92],"low-rank":[72],"natural":[78],"backgrounds":[80],"and":[81],"its":[82],"relation":[83],"linear":[87],"mixture":[88],"This":[90],"developed":[93],"method":[96],"dominant":[98],"mode":[99],"rejection.":[100],"Finally,":[101],"effects":[103],"regularization":[105]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":2}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2016-06-24T00:00:00"}
