{"id":"https://openalex.org/W2100975942","doi":"https://doi.org/10.1109/tgrs.2013.2274875","title":"Hyperspectral Image Classification by Nonlocal Joint Collaborative Representation With a Locally Adaptive Dictionary","display_name":"Hyperspectral Image Classification by Nonlocal Joint Collaborative Representation With a Locally Adaptive Dictionary","publication_year":2013,"publication_date":"2013-08-28","ids":{"openalex":"https://openalex.org/W2100975942","doi":"https://doi.org/10.1109/tgrs.2013.2274875","mag":"2100975942"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2013.2274875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2013.2274875","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/A5100446489","display_name":"Jiayi Li","orcid":"https://orcid.org/0000-0003-1691-9743"},"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":"Jiayi Li","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., 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/I4210118728","https://openalex.org/I37461747"]},{"raw_affiliation_string":"State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, , China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385579","display_name":"Hongyan Zhang","orcid":"https://orcid.org/0000-0002-7894-5755"},"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":"Hongyan Zhang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., 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/I4210118728","https://openalex.org/I37461747"]},{"raw_affiliation_string":"State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, , China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090058958","display_name":"Yuancheng Huang","orcid":"https://orcid.org/0000-0003-0882-906X"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuancheng Huang","raw_affiliation_strings":["College of Geomatics, Xi'an University of Science and Technology, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geomatics, Xi'an University of Science and Technology, Xi'an, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100673818","display_name":"Liangpei Zhang","orcid":"https://orcid.org/0000-0001-6890-3650"},"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 Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., 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/I4210118728","https://openalex.org/I37461747"]},{"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":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":34.2033,"has_fulltext":false,"cited_by_count":180,"citation_normalized_percentile":{"value":0.99772456,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"52","issue":"6","first_page":"3707","last_page":"3719"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9961000084877014,"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":0.9912999868392944,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9151960015296936},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7059441804885864},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6839622855186462},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6545403003692627},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6149117350578308},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5541943311691284},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5440153479576111},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5314995646476746},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5310312509536743},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4893495440483093},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4875645041465759},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4496758282184601},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38499343395233154},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2467174530029297}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9151960015296936},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7059441804885864},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6839622855186462},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6545403003692627},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6149117350578308},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5541943311691284},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5440153479576111},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5314995646476746},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5310312509536743},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4893495440483093},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4875645041465759},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4496758282184601},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38499343395233154},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2467174530029297},{"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/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2013.2274875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2013.2274875","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G2329321956","display_name":"\u9ad8\u5149\u8c31\u9065\u611f\u5f71\u50cf\u6df7\u5408\u50cf\u5143\u5206\u89e3\u7684\u7a00\u758f\u5206\u6790\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61102112","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5786956949","display_name":null,"funder_award_id":"61201342","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation 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/G8306065744","display_name":null,"funder_award_id":"40930532","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320309036","display_name":"Purdue University","ror":"https://ror.org/02dqehb95"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322874","display_name":"Universit\u00e0 degli Studi di Pavia","ror":"https://ror.org/00s6t1f81"},{"id":"https://openalex.org/F4320325422","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1486698398","https://openalex.org/W1577406987","https://openalex.org/W1672851775","https://openalex.org/W1848264314","https://openalex.org/W1971361074","https://openalex.org/W1974774078","https://openalex.org/W1983963519","https://openalex.org/W1989243451","https://openalex.org/W1997565609","https://openalex.org/W2027922120","https://openalex.org/W2038964396","https://openalex.org/W2056380775","https://openalex.org/W2069959554","https://openalex.org/W2097092275","https://openalex.org/W2097915756","https://openalex.org/W2106053110","https://openalex.org/W2106777458","https://openalex.org/W2113577207","https://openalex.org/W2117741752","https://openalex.org/W2117865218","https://openalex.org/W2119862467","https://openalex.org/W2120100419","https://openalex.org/W2125298866","https://openalex.org/W2128659236","https://openalex.org/W2129812935","https://openalex.org/W2129846893","https://openalex.org/W2131697388","https://openalex.org/W2131725398","https://openalex.org/W2132467081","https://openalex.org/W2134563198","https://openalex.org/W2136251662","https://openalex.org/W2137641062","https://openalex.org/W2144011735","https://openalex.org/W2148791530","https://openalex.org/W2156686129","https://openalex.org/W2158400785","https://openalex.org/W2165828254","https://openalex.org/W2169535263","https://openalex.org/W2171566342","https://openalex.org/W2963689635","https://openalex.org/W3022380717","https://openalex.org/W3104720471","https://openalex.org/W3105702746","https://openalex.org/W3144858519","https://openalex.org/W6675751002","https://openalex.org/W6679009191","https://openalex.org/W6679809621","https://openalex.org/W6684893555"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2374021060","https://openalex.org/W2792632245","https://openalex.org/W2005234362","https://openalex.org/W2162970382","https://openalex.org/W1997235926"],"abstract_inverted_index":{"Sparse":[0],"representation":[1,28],"has":[2,21],"been":[3],"widely":[4],"used":[5],"in":[6],"image":[7,59],"classification.":[8,61],"Sparsity-based":[9],"algorithms":[10,130],"are,":[11],"however,":[12],"known":[13],"to":[14,98],"be":[15],"time":[16],"consuming.":[17],"Meanwhile,":[18],"recent":[19],"work":[20],"shown":[22],"that":[23,35,122],"it":[24],"is":[25,81,93,96,112],"the":[26,32,37,40,66,73,84,88,99,105,118,123,127,132],"collaborative":[27],"(CR)":[29],"rather":[30],"than":[31],"sparsity":[33],"constraint":[34],"determines":[36],"performance":[38],"of":[39,69,87,104],"algorithm.":[41],"We":[42],"therefore":[43],"propose":[44],"a":[45,52],"nonlocal":[46,85,100],"joint":[47,74],"CR":[48,70],"classification":[49],"method":[50,111],"with":[51,83],"locally":[53],"adaptive":[54,97],"dictionary":[55],"(NJCRC-LAD)":[56],"for":[57],"hyperspectral":[58,137],"(HSI)":[60],"This":[62],"paper":[63],"focuses":[64],"on":[65,114],"working":[67],"mechanism":[68],"and":[71,117,131],"builds":[72],"collaboration":[75],"model":[76],"(JCM).":[77],"The":[78,108],"joint-signal":[79],"matrix":[80,102],"constructed":[82],"pixels":[86],"test":[89],"pixel.":[90],"A":[91],"subdictionary":[92],"utilized,":[94],"which":[95],"signal":[101],"instead":[103],"entire":[106],"dictionary.":[107],"proposed":[109,124],"NJCRC-LAD":[110],"tested":[113],"three":[115],"HSIs,":[116],"experimental":[119],"results":[120],"suggest":[121],"algorithm":[125],"outperforms":[126],"corresponding":[128],"sparsity-based":[129],"classical":[133],"support":[134],"vector":[135],"machine":[136],"classifier.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":26},{"year":2017,"cited_by_count":32},{"year":2016,"cited_by_count":32},{"year":2015,"cited_by_count":27},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
