{"id":"https://openalex.org/W2120832559","doi":"https://doi.org/10.1109/jstars.2014.2368173","title":"A Nonlinear Sparse Representation-Based Binary Hypothesis Model for Hyperspectral Target Detection","display_name":"A Nonlinear Sparse Representation-Based Binary Hypothesis Model for Hyperspectral Target Detection","publication_year":2014,"publication_date":"2014-11-26","ids":{"openalex":"https://openalex.org/W2120832559","doi":"https://doi.org/10.1109/jstars.2014.2368173","mag":"2120832559"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2014.2368173","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2014.2368173","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","School of Remote Sensing and information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, 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/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":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China","State Key Laboratory of Information, Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]},{"raw_affiliation_string":"State Key Laboratory of Information, Engineering in Surveying, Mapping, and Remote Sensing, 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":["School of Computer, Wuhan University, Wuhan, China","School of computer, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Wuhan University, 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/A5047095194","display_name":"Shugen Wang","orcid":"https://orcid.org/0000-0002-5358-0200"},"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":"Shugen Wang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","School of Remote Sensing and information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, 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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1800,"currency":"USD","value_usd":1800},"apc_paid":null,"fwci":8.0829,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.97216654,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"8","issue":"6","first_page":"2513","last_page":"2522"},"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":0.9868000149726868,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9595000147819519,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.884429931640625},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.682578444480896},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6614901423454285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.641454815864563},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6378405690193176},{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.6163325309753418},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5072557330131531},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.493477463722229},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4655025601387024},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.446275532245636},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4215781092643738},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2831011414527893}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.884429931640625},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.682578444480896},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6614901423454285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.641454815864563},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6378405690193176},{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.6163325309753418},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5072557330131531},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.493477463722229},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4655025601387024},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.446275532245636},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4215781092643738},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2831011414527893},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2014.2368173","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2014.2368173","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7799999713897705,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1787015647","display_name":null,"funder_award_id":"41431175","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4118196109","display_name":null,"funder_award_id":"2012CB719905","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6933362682","display_name":null,"funder_award_id":"2011CB707105","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7947832955","display_name":"\u7a00\u758f\u8868\u8fbe\u548c\u8de8\u9886\u57df\u5b66\u4e60\u7684\u9ad8\u5149\u8c31\u9065\u611f\u56fe\u50cf\u4e9a\u50cf\u5143\u76ee\u6807\u63a2\u6d4b\u7814\u7a76","funder_award_id":"61471274","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1963954178","https://openalex.org/W1976526581","https://openalex.org/W1976935203","https://openalex.org/W1991238316","https://openalex.org/W2011631302","https://openalex.org/W2014690245","https://openalex.org/W2021877372","https://openalex.org/W2040812261","https://openalex.org/W2046814520","https://openalex.org/W2046982036","https://openalex.org/W2047096209","https://openalex.org/W2067782748","https://openalex.org/W2093636968","https://openalex.org/W2101252963","https://openalex.org/W2107014267","https://openalex.org/W2107820823","https://openalex.org/W2108995755","https://openalex.org/W2118297240","https://openalex.org/W2118996198","https://openalex.org/W2124267685","https://openalex.org/W2127271355","https://openalex.org/W2129812935","https://openalex.org/W2140340527","https://openalex.org/W2149936180","https://openalex.org/W2156454229","https://openalex.org/W2163957348","https://openalex.org/W2165289391","https://openalex.org/W2165447611","https://openalex.org/W2183457690","https://openalex.org/W2245621199","https://openalex.org/W3023786531","https://openalex.org/W4285719527","https://openalex.org/W6648158618","https://openalex.org/W6653310249","https://openalex.org/W6677508755","https://openalex.org/W6686311551"],"related_works":["https://openalex.org/W2037328426","https://openalex.org/W1990914742","https://openalex.org/W2891033441","https://openalex.org/W2006559622","https://openalex.org/W3106536224","https://openalex.org/W2890371384","https://openalex.org/W2051769241","https://openalex.org/W2563324120","https://openalex.org/W2040756827","https://openalex.org/W3045038000"],"abstract_inverted_index":{"The":[0,140],"sparsity":[1,29,131],"model":[2,70,79,116,132],"has":[3,11],"been":[4,12],"employed":[5,100],"for":[6],"hyperspectral":[7,108],"target":[8,43,151],"detection":[9,104,166],"and":[10,44,95,150],"proved":[13],"to":[14,20,80,101,144],"be":[15],"very":[16],"effective":[17,155],"when":[18],"compared":[19],"the":[21,27,76,83,87,103,113,120,130,134,148,158,161,165],"traditional":[22],"linear":[23,39],"mixture":[24,123],"model.":[25],"However,":[26],"state-of-art":[28],"models":[30],"usually":[31],"represent":[32,82],"a":[33,37,57,64,96,145],"test":[34,59,84],"sample":[35],"via":[36],"sparse":[38,65],"combination":[40],"of":[41,56,136],"both":[42],"background":[45,58,149],"training":[46],"samples,":[47],"which":[48,153],"does":[49],"not":[50,117],"result":[51],"in":[52,92,106,156],"an":[53],"efficient":[54],"representation":[55],"sample.":[60,85],"In":[61,110],"this":[62,93,111],"paper,":[63,94],"representation-based":[66],"binary":[67,77],"hypothesis":[68,78],"(SRBBH)":[69],"employs":[71],"more":[72,137],"appropriate":[73],"dictionaries":[74],"with":[75],"sparsely":[81],"Furthermore,":[86],"nonlinear":[88,121],"issue":[89,105],"is":[90,99,154],"addressed":[91],"kernel":[97,114],"method":[98],"resolve":[102],"complicated":[107],"images.":[109],"way,":[112],"SRBBH":[115],"only":[118],"takes":[119],"endmember":[122],"into":[124],"consideration,":[125],"but":[126],"also":[127],"fully":[128],"exploits":[129],"by":[133],"use":[135],"reasonable":[138],"dictionaries.":[139],"recovery":[141],"process":[142],"leads":[143],"competition":[146],"between":[147],"subspaces,":[152],"separating":[157],"targets":[159],"from":[160],"background,":[162],"thereby":[163],"enhancing":[164],"performance.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}