{"id":"https://openalex.org/W2757177965","doi":"https://doi.org/10.1109/access.2017.2758168","title":"Region-Based Relaxed Multiple Kernel Collaborative Representation for Hyperspectral Image Classification","display_name":"Region-Based Relaxed Multiple Kernel Collaborative Representation for Hyperspectral Image Classification","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2757177965","doi":"https://doi.org/10.1109/access.2017.2758168","mag":"2757177965"},"language":"en","primary_location":{"id":"doi:10.1109/access.2017.2758168","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2758168","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2017.2758168","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018617993","display_name":"Jianjun Liu","orcid":"https://orcid.org/0000-0003-0778-9094"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Liu","raw_affiliation_strings":["Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0000-0003-0778-9094","affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031361250","display_name":"Zebin Wu","orcid":"https://orcid.org/0000-0002-7162-0202"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zebin Wu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100603146","display_name":"Zhiyong Xiao","orcid":"https://orcid.org/0000-0003-3187-1629"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Xiao","raw_affiliation_strings":["Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering, Jiangnan University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007738986","display_name":"Jinlong Yang","orcid":"https://orcid.org/0000-0001-9548-4236"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinlong Yang","raw_affiliation_strings":["Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering, Jiangnan University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.1843,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.93067187,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"5","issue":null,"first_page":"20921","last_page":"20933"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9952999949455261,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9634000062942505,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.927763819694519},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7556324005126953},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7133190631866455},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.691840648651123},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6214168071746826},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.592404305934906},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4692281186580658},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.46906352043151855},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.46474239230155945},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.45701080560684204},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.45667243003845215},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4171425700187683},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4151528477668762},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32199275493621826},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.29801851511001587},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10798811912536621},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.05721011757850647}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.927763819694519},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7556324005126953},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7133190631866455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.691840648651123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6214168071746826},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.592404305934906},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4692281186580658},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.46906352043151855},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.46474239230155945},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.45701080560684204},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.45667243003845215},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4171425700187683},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4151528477668762},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32199275493621826},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.29801851511001587},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10798811912536621},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.05721011757850647},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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":[{"id":"doi:10.1109/access.2017.2758168","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2758168","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:61555920f01641d08339f7ae2e2606cc","is_oa":true,"landing_page_url":"https://doaj.org/article/61555920f01641d08339f7ae2e2606cc","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":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 5, Pp 20921-20933 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2017.2758168","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2758168","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1919711014","display_name":null,"funder_award_id":"61772274","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4554589760","display_name":null,"funder_award_id":"61601201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4762183111","display_name":null,"funder_award_id":"BK20150160","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G5012421202","display_name":null,"funder_award_id":"BK20160188","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G5049696438","display_name":null,"funder_award_id":"61471199","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8620067024","display_name":null,"funder_award_id":"30917015104","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"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/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1914219707","https://openalex.org/W1915109052","https://openalex.org/W1939429412","https://openalex.org/W1964514974","https://openalex.org/W1967972920","https://openalex.org/W1971891445","https://openalex.org/W1973521730","https://openalex.org/W1974981350","https://openalex.org/W1991359796","https://openalex.org/W1997565609","https://openalex.org/W1998030734","https://openalex.org/W2001298023","https://openalex.org/W2008094348","https://openalex.org/W2019338222","https://openalex.org/W2022361862","https://openalex.org/W2041100636","https://openalex.org/W2045161375","https://openalex.org/W2046017387","https://openalex.org/W2049427966","https://openalex.org/W2049444988","https://openalex.org/W2052160904","https://openalex.org/W2052800689","https://openalex.org/W2056302425","https://openalex.org/W2061572659","https://openalex.org/W2063102607","https://openalex.org/W2067532478","https://openalex.org/W2067782748","https://openalex.org/W2075707011","https://openalex.org/W2083541351","https://openalex.org/W2100975942","https://openalex.org/W2101365302","https://openalex.org/W2104472920","https://openalex.org/W2109743529","https://openalex.org/W2112019442","https://openalex.org/W2113636953","https://openalex.org/W2124372976","https://openalex.org/W2127199143","https://openalex.org/W2132467081","https://openalex.org/W2132637576","https://openalex.org/W2135431554","https://openalex.org/W2136251662","https://openalex.org/W2146611644","https://openalex.org/W2149471024","https://openalex.org/W2149767701","https://openalex.org/W2153635508","https://openalex.org/W2164330327","https://openalex.org/W2164535072","https://openalex.org/W2167799103","https://openalex.org/W2168481151","https://openalex.org/W2294492906","https://openalex.org/W2344173806","https://openalex.org/W2345118402","https://openalex.org/W2395443950","https://openalex.org/W2470078595","https://openalex.org/W2502502269","https://openalex.org/W2517660364","https://openalex.org/W2523396434","https://openalex.org/W2548369607","https://openalex.org/W2586793539","https://openalex.org/W2591084634","https://openalex.org/W2613557745","https://openalex.org/W6640015359","https://openalex.org/W6640140148","https://openalex.org/W6641446668","https://openalex.org/W6663996602","https://openalex.org/W6675788551","https://openalex.org/W6678649513","https://openalex.org/W6684067080"],"related_works":["https://openalex.org/W2911259277","https://openalex.org/W2800956885","https://openalex.org/W2533019003","https://openalex.org/W1788560349","https://openalex.org/W2626158795","https://openalex.org/W2078656815","https://openalex.org/W2391021239","https://openalex.org/W2560525382","https://openalex.org/W2126575155","https://openalex.org/W2095129185"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,29,35,52,100],"region-based":[4],"relaxed":[5,101],"multiple":[6,102],"kernel":[7,103,124],"collaborative":[8,125],"representation":[9,126],"method":[10,20,31,142],"for":[11],"the":[12,26,43,72,78,85,92,97,109,119,137,140],"spatial-spectral":[13,44,148],"classification":[14],"of":[15,22,46,66,87,121,139],"hyperspectral":[16,47,53,134],"images.":[17,48],"The":[18],"proposed":[19,106,141],"consists":[21],"three":[23],"steps.":[24],"In":[25,71,96],"first":[27,79],"step,":[28,74,99],"multiscale":[30,112],"achieved":[32],"by":[33],"extending":[34],"superpixel":[36],"segmentation":[37],"algorithm":[38],"is":[39,105],"designed":[40],"to":[41,90,107],"capture":[42],"information":[45],"For":[49],"each":[50,88],"scale,":[51],"image":[54],"can":[55],"be":[56],"segmented":[57],"into":[58],"several":[59],"nonoverlapping":[60],"spectrally":[61],"similar":[62],"regions":[63,86],"that":[64],"consist":[65],"some":[67,146],"spatially":[68],"adjacent":[69],"pixels.":[70],"second":[73],"two":[75,80,132],"criteria":[76],"(i.e.,":[77],"moments)":[81],"are":[82],"computed":[83],"within":[84],"scale":[89],"generate":[91],"corresponding":[93],"spatial":[94,111],"features.":[95],"final":[98],"technique":[104],"fuse":[108],"obtained":[110,130],"features":[113,117],"and":[114],"original":[115],"spectral":[116],"in":[118],"framework":[120],"column":[122],"generation":[123],"classification.":[127],"Experimental":[128],"results":[129],"from":[131],"real":[133],"images":[135],"demonstrate":[136],"effectiveness":[138],"as":[143],"compared":[144],"with":[145],"popular":[147],"techniques.":[149]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
