{"id":"https://openalex.org/W2049655667","doi":"https://doi.org/10.1109/lgrs.2011.2176101","title":"Improving the SVDD Approach to Hyperspectral Image Classification","display_name":"Improving the SVDD Approach to Hyperspectral Image Classification","publication_year":2012,"publication_date":"2012-01-23","ids":{"openalex":"https://openalex.org/W2049655667","doi":"https://doi.org/10.1109/lgrs.2011.2176101","mag":"2049655667"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2011.2176101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2011.2176101","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5028152226","display_name":"Safa Khazai","orcid":null},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"S. Khazai","raw_affiliation_strings":["Department of Surveying and Geomatics Engineering, College of Engineering, University of Tehran, Tehran, Iran","Department of Surveying and Geomatics Engineering, University of Tehran, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Surveying and Geomatics Engineering, College of Engineering, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]},{"raw_affiliation_string":"Department of Surveying and Geomatics Engineering, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003182960","display_name":"Abdolreza Safari","orcid":"https://orcid.org/0000-0001-5938-5468"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"A. Safari","raw_affiliation_strings":["Department of Surveying and Geomatics Engineering, College of Engineering, University of Tehran, Tehran, Iran","Department of Surveying and Geomatics Engineering, University of Tehran, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Surveying and Geomatics Engineering, College of Engineering, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]},{"raw_affiliation_string":"Department of Surveying and Geomatics Engineering, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083040104","display_name":"Barat Mojaradi","orcid":"https://orcid.org/0000-0002-5894-5969"},"institutions":[{"id":"https://openalex.org/I67009956","display_name":"Iran University of Science and Technology","ror":"https://ror.org/01jw2p796","country_code":"IR","type":"education","lineage":["https://openalex.org/I67009956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"B. Mojaradi","raw_affiliation_strings":["Iran University of Science and Technology, Tehran, Iran","Iran Univ. of Sci. & Technol., Tehran, , Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iran University of Science and Technology, Tehran, Iran","institution_ids":["https://openalex.org/I67009956"]},{"raw_affiliation_string":"Iran Univ. of Sci. & Technol., Tehran, , Iran","institution_ids":["https://openalex.org/I67009956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063724972","display_name":"Saeid Homayouni","orcid":"https://orcid.org/0000-0002-0214-5356"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"S. Homayouni","raw_affiliation_strings":["Department of Surveying and Geomatics Engineering, College of Engineering, University of Tehran, Tehran, Iran","Department of Surveying and Geomatics Engineering, University of Tehran, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Surveying and Geomatics Engineering, College of Engineering, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]},{"raw_affiliation_string":"Department of Surveying and Geomatics Engineering, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.9449,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.94742211,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"9","issue":"4","first_page":"594","last_page":"598"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9782999753952026,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9728999733924866,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7493602633476257},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6135556697845459},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5982136130332947},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5680564045906067},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5059592127799988},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4930073916912079},{"id":"https://openalex.org/keywords/sigma","display_name":"Sigma","score":0.4523828327655792},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.44278237223625183},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4249390661716461},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.410405695438385},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.381184458732605},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3313307762145996},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21870505809783936},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.08836817741394043}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7493602633476257},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6135556697845459},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5982136130332947},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5680564045906067},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5059592127799988},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4930073916912079},{"id":"https://openalex.org/C2778049214","wikidata":"https://www.wikidata.org/wiki/Q7512234","display_name":"Sigma","level":2,"score":0.4523828327655792},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.44278237223625183},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4249390661716461},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.410405695438385},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.381184458732605},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3313307762145996},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21870505809783936},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.08836817741394043},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2011.2176101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2011.2176101","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1488833649","https://openalex.org/W1501344851","https://openalex.org/W1595738034","https://openalex.org/W1746819321","https://openalex.org/W2004616416","https://openalex.org/W2004785362","https://openalex.org/W2063907334","https://openalex.org/W2101711129","https://openalex.org/W2104520867","https://openalex.org/W2124463804","https://openalex.org/W2131132457","https://openalex.org/W2131651374","https://openalex.org/W2147280166","https://openalex.org/W2163816481","https://openalex.org/W2165447611","https://openalex.org/W4211049957"],"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/W2070598848","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2019190440","https://openalex.org/W2343470940"],"abstract_inverted_index":{"In":[0],"recent":[1],"studies,":[2],"the":[3,14,29,33,38,44,56,74,87,93,106,118,123,126,164,189],"support":[4],"vector":[5],"data":[6,62,133,161],"description":[7],"(SVDD)":[8],"has":[9],"been":[10],"successfully":[11],"applied":[12],"to":[13,84,91,104,142],"classification":[15],"of":[16,32,47,117,125],"hyperspectral":[17,132],"images.":[18],"However,":[19],"there":[20],"is":[21,58,82],"a":[22,52,69,99,182],"major":[23],"problem":[24],"with":[25,173,188],"this":[26],"approach,":[27],"namely,":[28],"precise":[30],"setting":[31],"Gaussian":[34,119],"kernel":[35,48],"width":[36],"(i.e.,":[37],"sigma),":[39],"which":[40],"is,":[41],"in":[42,50,77,149,186],"fact,":[43],"common":[45],"limitation":[46],"methods":[49],"achieving":[51],"reliable":[53],"performance.":[54],"Generally,":[55],"sigma":[57,107,146,153],"tuned":[59],"for":[60,108,145],"multiclass":[61],"sets":[63,134],"through":[64],"theK-fold":[65],"cross":[66],"validation":[67],"(KCV),":[68],"time-consuming":[70],"method.":[71],"To":[72,121],"reduce":[73],"computation":[75],"time":[76],"real-time":[78],"applications,":[79],"typically,":[80],"theKCV":[81,143,178],"used":[83,131],"constrain":[85],"all":[86],"involved":[88],"SVDD":[89,111],"classifiers":[90],"share":[92],"same":[94],"sigma.":[95],"This":[96],"letter":[97],"presents":[98],"fast":[100],"and":[101,179],"straightforward":[102],"method":[103,144,166],"estimate":[105],"each":[109],"individual":[110],"classifier":[112],"based":[113],"on":[114],"statistical":[115],"properties":[116],"kernel.":[120],"evaluate":[122],"performance":[124,172,185],"proposed":[127,165],"method,":[128],"three":[129],"frequently":[130],"are":[135,139],"employed.":[136],"The":[137],"results":[138,157],"then":[140],"compared":[141],"selection,":[147],"and,":[148],"addition,":[150],"two":[151],"direct":[152,190],"estimation":[154],"methods.":[155,191],"Preliminary":[156],"using":[158],"incomplete":[159],"training":[160],"suggest":[162],"that":[163],"can":[167],"achieve":[168],"similar":[169],"or":[170],"better":[171],"faster":[174],"processing":[175],"times":[176],"than":[177],"also":[180],"provide":[181],"significant":[183],"superior":[184],"comparison":[187]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}