{"id":"https://openalex.org/W2046814520","doi":"https://doi.org/10.1109/lgrs.2013.2257666","title":"Regularization Framework for Target Detection in Hyperspectral Imagery","display_name":"Regularization Framework for Target Detection in Hyperspectral Imagery","publication_year":2013,"publication_date":"2013-06-27","ids":{"openalex":"https://openalex.org/W2046814520","doi":"https://doi.org/10.1109/lgrs.2013.2257666","mag":"2046814520"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2013.2257666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2013.2257666","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5054256790","display_name":"Yuxiang Zhang","orcid":"https://orcid.org/0000-0002-2913-3515"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxiang Zhang","raw_affiliation_strings":["Wuhan University, School of Remote Sensing and Information Engineering, Wuhan, China","School of Remote Sensing and information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University, School of Remote Sensing and Information Engineering, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Remote Sensing and information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060042752","display_name":"Bo Du","orcid":"https://orcid.org/0000-0002-0059-8458"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Du","raw_affiliation_strings":["Wuhan University, School of Computer, Wuhan, China","School of computer, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University, School of Computer, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of computer, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108106453","display_name":"Liangpei Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangpei Zhang","raw_affiliation_strings":["Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan, China","State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]},{"raw_affiliation_string":"State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, , China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":2.7979,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.91509997,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"11","issue":"1","first_page":"313","last_page":"317"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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":0.9840999841690063,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9797000288963318,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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":0.9208716154098511},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.729679524898529},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6203997135162354},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6019699573516846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5602585077285767},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.48264414072036743},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.4728037714958191},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4515128433704376},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.43650734424591064},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4315425455570221},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39249667525291443},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.380240797996521},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3291301429271698}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9208716154098511},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.729679524898529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6203997135162354},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6019699573516846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5602585077285767},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.48264414072036743},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.4728037714958191},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4515128433704376},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.43650734424591064},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4315425455570221},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39249667525291443},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.380240797996521},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3291301429271698},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2013.2257666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2013.2257666","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2001045763","https://openalex.org/W2011147915","https://openalex.org/W2028740150","https://openalex.org/W2047096209","https://openalex.org/W2047870694","https://openalex.org/W2080979708","https://openalex.org/W2093636968","https://openalex.org/W2105234315","https://openalex.org/W2124463804","https://openalex.org/W2140340527","https://openalex.org/W2144158572","https://openalex.org/W2154236340","https://openalex.org/W2166682552","https://openalex.org/W3119651796","https://openalex.org/W6650575452"],"related_works":["https://openalex.org/W1829060647","https://openalex.org/W4244622228","https://openalex.org/W1965977581","https://openalex.org/W2061980133","https://openalex.org/W2077506191","https://openalex.org/W2387685679","https://openalex.org/W2050855072","https://openalex.org/W4298004047","https://openalex.org/W3134728064","https://openalex.org/W2374214022"],"abstract_inverted_index":{"Target":[0],"detection":[1,20,82,125],"in":[2,10,23,65,99,111],"hyperspectral":[3],"imagery":[4],"(HSI)":[5],"is":[6,91],"of":[7,27,30,51,117],"great":[8],"interest":[9],"the":[11,18,24,37,48,52,55,74,81,94,115,118,124,136,141],"signal":[12],"processing":[13],"field.":[14],"The":[15],"key":[16],"to":[17,47,72,108,113],"target":[19,100],"methods":[21],"lies":[22],"proper":[25],"estimation":[26],"a":[28,87,104],"variety":[29],"measurement":[31,96],"matrices":[32,41,68,97,110],"that":[33,90,134],"are":[34,42],"estimated":[35],"from":[36],"HSI.":[38],"However,":[39],"these":[40,109],"usually":[43],"ill":[44],"conditioned":[45],"due":[46],"high":[49],"dimension":[50],"HSI":[53,133],"or":[54],"inherent":[56],"correlation":[57],"between":[58],"different":[59],"image":[60],"bands,":[61],"which":[62],"can":[63],"result":[64],"inaccurate":[66,76],"inverse":[67,77,119],"estimation.":[69],"Therefore,":[70],"how":[71],"handle":[73],"potentially":[75],"calculation":[78],"greatly":[79],"affects":[80],"performance.":[83,126],"This":[84],"letter":[85],"proposes":[86],"regularization":[88],"framework":[89],"suitable":[92],"for":[93],"state-of-the-art":[95],"used":[98],"detectors.":[101,143],"It":[102],"adds":[103],"scaled":[105],"identity":[106],"matrix":[107],"order":[112],"strengthen":[114],"stability":[116],"matrices,":[120],"and,":[121],"consequently,":[122],"improve":[123],"Extensive":[127],"experiments":[128],"were":[129],"carried":[130],"out":[131],"on":[132],"revealed":[135],"regularized":[137],"detectors":[138],"clearly":[139],"outperformed":[140],"original":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}