{"id":"https://openalex.org/W2945172652","doi":"https://doi.org/10.3390/rs11091114","title":"Kernel Joint Sparse Representation Based on Self-Paced Learning for Hyperspectral Image Classification","display_name":"Kernel Joint Sparse Representation Based on Self-Paced Learning for Hyperspectral Image Classification","publication_year":2019,"publication_date":"2019-05-09","ids":{"openalex":"https://openalex.org/W2945172652","doi":"https://doi.org/10.3390/rs11091114","mag":"2945172652"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11091114","pdf_url":"https://www.mdpi.com/2072-4292/11/9/1114/pdf?version=1557746613","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/11/9/1114/pdf?version=1557746613","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047745049","display_name":"Sixiu Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"funder","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sixiu Hu","raw_affiliation_strings":["Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan 430062, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan 430062, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036030486","display_name":"Jiangtao Peng","orcid":"https://orcid.org/0000-0002-4759-0584"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"funder","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangtao Peng","raw_affiliation_strings":["Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan 430062, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan 430062, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046327023","display_name":"Yingxiong Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"funder","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yingxiong Fu","raw_affiliation_strings":["Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan 430062, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan 430062, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070570029","display_name":"Luoqing Li","orcid":"https://orcid.org/0000-0002-4770-2283"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"funder","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luoqing Li","raw_affiliation_strings":["Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan 430062, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan 430062, China","institution_ids":["https://openalex.org/I75900474"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5046327023"],"corresponding_institution_ids":["https://openalex.org/I75900474"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.654,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":5,"citation_normalized_percentile":{"value":0.770402,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":79,"max":80},"biblio":{"volume":"11","issue":"9","first_page":"1114","last_page":"1114"},"is_retracted":false,"is_paratext":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":0.9941,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9524,"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/kernel","display_name":"Kernel (algebra)","score":0.6916198},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46808085},{"id":"https://openalex.org/keywords/representation","display_name":"Representation","score":0.45524922},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.43497875},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature Learning","score":0.42713138}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8079153},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7796192},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7111434},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6916198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6740077},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.67173475},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5981515},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46808085},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45524922},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.43497875},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.42713138},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32357794},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11091114","pdf_url":"https://www.mdpi.com/2072-4292/11/9/1114/pdf?version=1557746613","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/87f058caf7c24b8e9502de414488a702","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11091114","pdf_url":"https://www.mdpi.com/2072-4292/11/9/1114/pdf?version=1557746613","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61871177 and 11771130"}],"datasets":[],"versions":[],"referenced_works_count":35,"referenced_works":["https://openalex.org/W1963659868","https://openalex.org/W1974774078","https://openalex.org/W1997565609","https://openalex.org/W2001246420","https://openalex.org/W2001298023","https://openalex.org/W2023405479","https://openalex.org/W2031510368","https://openalex.org/W2043665634","https://openalex.org/W2059420613","https://openalex.org/W2072187267","https://openalex.org/W2073897310","https://openalex.org/W2085529604","https://openalex.org/W2087263574","https://openalex.org/W2097915756","https://openalex.org/W2100285320","https://openalex.org/W2104269704","https://openalex.org/W2129812935","https://openalex.org/W2144348684","https://openalex.org/W2164330327","https://openalex.org/W2166040020","https://openalex.org/W2168481151","https://openalex.org/W2168880067","https://openalex.org/W2256388387","https://openalex.org/W2290946060","https://openalex.org/W2296073425","https://openalex.org/W2315347323","https://openalex.org/W2551480915","https://openalex.org/W2620239873","https://openalex.org/W2753248899","https://openalex.org/W2767805377","https://openalex.org/W2804806304","https://openalex.org/W2886327376","https://openalex.org/W2889773939","https://openalex.org/W2890376060","https://openalex.org/W2899003677"],"related_works":["https://openalex.org/W4230131218","https://openalex.org/W3209970181","https://openalex.org/W3131501806","https://openalex.org/W3034375524","https://openalex.org/W2807745940","https://openalex.org/W2799683370","https://openalex.org/W2786094008","https://openalex.org/W2374021060","https://openalex.org/W2072166414","https://openalex.org/W2060875994"],"abstract_inverted_index":{"By":[0,116],"means":[1],"of":[2,23,37,45,61,70,109,128],"joint":[3,11],"sparse":[4,12,87],"representation":[5,13],"(JSR)":[6],"and":[7,26,86,149,164],"kernel":[8,10],"representation,":[9],"(KJSR)":[14],"models":[15],"can":[16,101,134],"effectively":[17],"model":[18,81],"the":[19,34,43,51,56,59,68,95,107,125],"intrinsic":[20],"nonlinear":[21],"relations":[22],"hyperspectral":[24,38,151],"data":[25,152],"better":[27],"exploit":[28],"spatial":[29,57,114],"neighborhood":[30],"structure":[31],"to":[32,42,82,105],"improve":[33],"classification":[35],"performance":[36,60],"images.":[39],"However,":[40],"due":[41],"presence":[44],"noisy":[46,131],"or":[47,122,130],"inhomogeneous":[48,129],"pixels":[49,93,111,133],"around":[50],"central":[52],"testing":[53],"pixel":[54],"in":[55,94],"domain,":[58],"KJSR":[62,79,165],"is":[63,139,157],"greatly":[64],"affected.":[65],"Motivated":[66],"by":[67],"idea":[69],"self-paced":[71,78],"learning":[72],"(SPL),":[73],"this":[74],"paper":[75],"proposes":[76],"a":[77,103,113],"(SPKJSR)":[80],"adaptively":[83],"learn":[84,102],"weights":[85,119],"coefficient":[88],"vectors":[89],"for":[90,120],"different":[91],"neighboring":[92,132],"kernel-based":[96],"feature":[97,110],"space.":[98],"SPL":[99],"strateges":[100],"weight":[104],"indicate":[106],"difficulty":[108],"within":[112],"neighborhood.":[115],"assigning":[117],"small":[118],"unimportant":[121],"complex":[123],"pixels,":[124],"negative":[126],"effect":[127],"be":[135],"suppressed.":[136],"Hence,":[137],"SPKJSR":[138,156],"usually":[140],"much":[141,158],"more":[142,159],"robust.":[143],"Experimental":[144],"results":[145],"on":[146],"Indian":[147],"Pines":[148],"Salinas":[150],"sets":[153],"demonstrate":[154],"that":[155],"effective":[160],"than":[161],"traditional":[162],"JSR":[163],"models.":[166]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2945172652","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-03-17T14:04:04.105302","created_date":"2019-05-29"}