{"id":"https://openalex.org/W1966223876","doi":"https://doi.org/10.1109/igarss.2012.6351707","title":"Weighted radial basis function kernels-based support vector machines for multispectral image classification","display_name":"Weighted radial basis function kernels-based support vector machines for multispectral image classification","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W1966223876","doi":"https://doi.org/10.1109/igarss.2012.6351707","mag":"1966223876"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2012.6351707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6351707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101889578","display_name":"Shih-Yu Chen","orcid":"https://orcid.org/0000-0003-3305-514X"},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]},{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["TW","US"],"is_corresponding":false,"raw_author_name":"Shih-Yu Chen","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD, USA","Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]},{"raw_affiliation_string":"Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085257044","display_name":"Yen\u2010Chieh Ouyang","orcid":"https://orcid.org/0000-0002-4221-2787"},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yen Chieh Ouyang","raw_affiliation_strings":["Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073412670","display_name":"Chein\u2010I Chang","orcid":"https://orcid.org/0000-0002-5450-4891"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chein-I Chang","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4339","last_page":"4342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9957000017166138,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9605000019073486,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/weighting","display_name":"Weighting","score":0.8258381485939026},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.8212722539901733},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7047107219696045},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6014235019683838},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5796430110931396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.579063355922699},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.558380126953125},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5518782138824463},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5349053144454956},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.49246248602867126},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.4883362948894501},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.48636606335639954},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.43862056732177734},{"id":"https://openalex.org/keywords/hierarchical-rbf","display_name":"Hierarchical RBF","score":0.4303142726421356},{"id":"https://openalex.org/keywords/a-weighting","display_name":"A-weighting","score":0.41274720430374146},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.3557215929031372},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31061413884162903},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3079839050769806},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.16364321112632751}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.8258381485939026},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.8212722539901733},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7047107219696045},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6014235019683838},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5796430110931396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.579063355922699},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.558380126953125},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5518782138824463},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5349053144454956},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.49246248602867126},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.4883362948894501},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.48636606335639954},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.43862056732177734},{"id":"https://openalex.org/C182016430","wikidata":"https://www.wikidata.org/wiki/Q17029399","display_name":"Hierarchical RBF","level":4,"score":0.4303142726421356},{"id":"https://openalex.org/C70136482","wikidata":"https://www.wikidata.org/wiki/Q13583781","display_name":"A-weighting","level":3,"score":0.41274720430374146},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.3557215929031372},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31061413884162903},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3079839050769806},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.16364321112632751},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2012.6351707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6351707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2007192206","https://openalex.org/W2008757383","https://openalex.org/W2124776405","https://openalex.org/W2145138890"],"related_works":["https://openalex.org/W2410216726","https://openalex.org/W2794503223","https://openalex.org/W2294862180","https://openalex.org/W2024184249","https://openalex.org/W2162647716","https://openalex.org/W1969044629","https://openalex.org/W2186005834","https://openalex.org/W1785485394","https://openalex.org/W161633293","https://openalex.org/W1966223876"],"abstract_inverted_index":{"Radial":[0],"basis":[1],"function":[2],"(RBF)":[3],"has":[4],"been":[5],"widely":[6],"used":[7],"in":[8,34],"kernel-based":[9],"approaches.":[10],"This":[11],"paper":[12],"extended":[13],"RBF":[14,18,28,82],"kernels":[15,20,37,74],"to":[16,32,39,45],"weighted":[17],"(WRBF)":[19],"by":[21],"introducing":[22],"a":[23],"weighting":[24,43,50],"matrix":[25,59],"A":[26,30],"into":[27],"kernels.":[29,48,83],"key":[31],"success":[33],"implementing":[35],"WRBF":[36,47,73],"is":[38],"design":[40],"different":[41],"appropriate":[42],"matrices":[44,51],"implement":[46],"Three":[49],"are":[52],"of":[53],"particular":[54],"interest,":[55],"covariance":[56],"matrix,":[57],"correlation":[58],"and":[60],"within-class":[61],"scatter":[62],"matrix.":[63],"Experimental":[64],"results":[65],"via":[66],"various":[67],"applications":[68],"show":[69],"that":[70,79],"classifiers":[71],"using":[72,80],"provide":[75],"better":[76],"performance":[77],"than":[78],"un-weigheted":[81]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}