{"id":"https://openalex.org/W2789884944","doi":"https://doi.org/10.1109/access.2018.2799079","title":"Fusion of Weighted Mean Reconstruction and SVMCK for Hyperspectral Image Classification","display_name":"Fusion of Weighted Mean Reconstruction and SVMCK for Hyperspectral Image Classification","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2789884944","doi":"https://doi.org/10.1109/access.2018.2799079","mag":"2789884944"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2799079","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2799079","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.2018.2799079","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101829389","display_name":"Hong Huang","orcid":"https://orcid.org/0000-0002-7377-3077"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hong Huang","raw_affiliation_strings":["Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033398332","display_name":"Yule Duan","orcid":"https://orcid.org/0000-0002-2505-8730"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yule Duan","raw_affiliation_strings":["Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088872677","display_name":"Guangyao Shi","orcid":"https://orcid.org/0000-0002-1164-5969"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyao Shi","raw_affiliation_strings":["Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047997045","display_name":"Zhiyong Lv","orcid":"https://orcid.org/0000-0003-2595-4794"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Lv","raw_affiliation_strings":["School of Computer Science and Engineering, Xi\u2019an University of Technology, Xi\u2019an, China","School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Xi\u2019an University of Technology, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, China","institution_ids":["https://openalex.org/I4210131919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101829389"],"corresponding_institution_ids":["https://openalex.org/I50632499"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.44,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84783114,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"6","issue":null,"first_page":"15224","last_page":"15235"},"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":0.9922000169754028,"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":0.9904000163078308,"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/pixel","display_name":"Pixel","score":0.886991024017334},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.834599494934082},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7164011001586914},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6564115881919861},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.5820298790931702},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5580950975418091},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.49060335755348206},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4480201303958893},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.41584721207618713},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4104040861129761},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3882453441619873},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3632867932319641},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25986891984939575},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06947764754295349}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.886991024017334},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.834599494934082},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7164011001586914},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6564115881919861},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5820298790931702},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5580950975418091},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.49060335755348206},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4480201303958893},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.41584721207618713},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4104040861129761},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3882453441619873},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3632867932319641},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25986891984939575},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06947764754295349},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2799079","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2799079","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:5b55f88e3c8745a4ab6781d1b889646e","is_oa":true,"landing_page_url":"https://doaj.org/article/5b55f88e3c8745a4ab6781d1b889646e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 6, Pp 15224-15235 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2799079","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2799079","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":[{"id":"https://metadata.un.org/sdg/10","score":0.75,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G102790734","display_name":null,"funder_award_id":"41371338","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/F4320321135","display_name":"Chongqing University","ror":"https://ror.org/023rhb549"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1677796994","https://openalex.org/W1950365613","https://openalex.org/W1977355761","https://openalex.org/W1996213136","https://openalex.org/W2001298023","https://openalex.org/W2036842392","https://openalex.org/W2059110141","https://openalex.org/W2084225223","https://openalex.org/W2106277226","https://openalex.org/W2115451191","https://openalex.org/W2131450755","https://openalex.org/W2164330327","https://openalex.org/W2164769329","https://openalex.org/W2169535263","https://openalex.org/W2183325870","https://openalex.org/W2244992359","https://openalex.org/W2312468355","https://openalex.org/W2321627895","https://openalex.org/W2343514605","https://openalex.org/W2345019888","https://openalex.org/W2467346220","https://openalex.org/W2469142871","https://openalex.org/W2507855991","https://openalex.org/W2519420704","https://openalex.org/W2527650001","https://openalex.org/W2549862511","https://openalex.org/W2551480915","https://openalex.org/W2583142700","https://openalex.org/W2742141965","https://openalex.org/W2746661731","https://openalex.org/W3160129402","https://openalex.org/W7021124830"],"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/W2404757046","https://openalex.org/W2070598848","https://openalex.org/W2019190440","https://openalex.org/W3034864990","https://openalex.org/W2076134148"],"abstract_inverted_index":{"Conventional":[0],"classifiers":[1],"treat":[2],"hyperspectral":[3,160],"image":[4],"(HSI)":[5],"as":[6],"a":[7,49],"list":[8],"of":[9,79,104,114,173],"spectral":[10,90],"measurements":[11],"without":[12],"considering":[13],"the":[14,23,33,40,96,102,105,112,120,128,134,140,153,171,174],"spatial":[15,27,80,88,147],"relationship":[16],"between":[17],"pixels.":[18,130],"Therefore,":[19],"these":[20,47],"methods":[21],"discard":[22],"information":[24],"associated":[25],"with":[26,61,83,146],"correlations":[28],"among":[29],"distinct":[30],"pixels":[31,42,76,82,94,116],"in":[32,43,117],"image,":[34],"and":[35,89,110,138,165],"they":[36],"are":[37,167],"sensitive":[38],"to":[39,74,86,126,169],"noise":[41,115],"HSI.":[44,118],"To":[45],"address":[46],"drawbacks,":[48],"spatial-spectral":[50,97,136],"combined":[51,98],"classification":[52,154],"method":[53,122],"termed":[54],"weighted":[55],"mean":[56],"reconstruction-based":[57],"support":[58],"vector":[59],"machine":[60],"composite":[62],"kernels":[63],"(WMR-SVMCK)":[64],"is":[65],"proposed":[66,121,175],"for":[67],"HSI":[68],"classification.":[69],"At":[70],"first,":[71],"WMR-SVMCK":[72,131,176],"tries":[73],"reconstruct":[75],"by":[77,142],"means":[78],"neighbor":[81,148],"reconstruction":[84],"weights":[85],"fuse":[87],"information.":[91],"The":[92],"reconstructed":[93,129],"include":[95],"features":[99,137],"that":[100],"enhance":[101],"separability":[103],"samples":[106],"from":[107],"different":[108],"classes":[109],"reduce":[111],"influence":[113],"Then,":[119],"utilizes":[123],"SVMCK":[124],"classifier":[125],"classify":[127],"effectively":[132],"extracts":[133],"discriminating":[135],"enhances":[139],"robustness":[141],"reconstructing":[143],"each":[144],"pixel":[145],"pixels,":[149],"which":[150],"significantly":[151],"improves":[152],"performance.":[155],"Experiments":[156],"on":[157],"two":[158],"real":[159],"data":[161],"sets":[162],"(Indian":[163],"Pines":[164],"PaviaU)":[166],"performed":[168],"demonstrate":[170],"effectiveness":[172],"method.":[177]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
