{"id":"https://openalex.org/W2133830417","doi":"https://doi.org/10.1109/igarss.2008.4780110","title":"Dimension Reduction for Hyperspectral Image Classification via Support Vector based Feature Extraction","display_name":"Dimension Reduction for Hyperspectral Image Classification via Support Vector based Feature Extraction","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2133830417","doi":"https://doi.org/10.1109/igarss.2008.4780110","mag":"2133830417"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2008.4780110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2008.4780110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2008 - 2008 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/A5006434175","display_name":"Cheng\u2010Hsuan Li","orcid":"https://orcid.org/0000-0001-5059-8256"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Hsuan Li","raw_affiliation_strings":["Department of Electrical and Control Engineering, National Chiao Tung University, Taiwan","[Dept. of Electr. & Control Eng., Nat. Chiao Tung Univ., Hsinchu]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Control Engineering, National Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"[Dept. of Electr. & Control Eng., Nat. Chiao Tung Univ., Hsinchu]","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054302891","display_name":"Bor\u2010Chen Kuo","orcid":"https://orcid.org/0000-0003-1741-2450"},"institutions":[{"id":"https://openalex.org/I34574549","display_name":"National Taichung University of Education","ror":"https://ror.org/006tnfe02","country_code":"TW","type":"education","lineage":["https://openalex.org/I34574549"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Bor-Chen Kuo","raw_affiliation_strings":["National Taichung University of Education, Taichung, TW","Grad. Sch. of Educ. Meas. & Stat., Nat. Taichung Univ., Taichung"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taichung University of Education, Taichung, TW","institution_ids":["https://openalex.org/I34574549"]},{"raw_affiliation_string":"Grad. Sch. of Educ. Meas. & Stat., Nat. Taichung Univ., Taichung","institution_ids":["https://openalex.org/I34574549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058936239","display_name":"Chin\u2010Teng Lin","orcid":"https://orcid.org/0000-0001-8371-8197"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chin-Teng Lin","raw_affiliation_strings":["Department of Electrical and Control Engineering, National Chiao Tung University, Taiwan","[Dept. of Electr. & Control Eng., Nat. Chiao Tung Univ., Hsinchu]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Control Engineering, National Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"[Dept. of Electr. & Control Eng., Nat. Chiao Tung Univ., Hsinchu]","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063590605","display_name":"Chih\u2010Cheng Hung","orcid":"https://orcid.org/0000-0003-0477-5957"},"institutions":[{"id":"https://openalex.org/I206426949","display_name":"Southern Polytechnic State University","ror":"https://ror.org/00cckeg37","country_code":"US","type":"education","lineage":["https://openalex.org/I206426949"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chih-Cheng Hung","raw_affiliation_strings":["Southern Polytechnic State University, Marietta, GA, USA","Southern Polytech. State Univ., Marietta, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern Polytechnic State University, Marietta, GA, USA","institution_ids":["https://openalex.org/I206426949"]},{"raw_affiliation_string":"Southern Polytech. State Univ., Marietta, GA","institution_ids":["https://openalex.org/I206426949"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"V ","last_page":" 389"},"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":0.9925000071525574,"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/T10057","display_name":"Face and Expression Recognition","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.798618733882904},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7895251512527466},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7296546697616577},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7193830013275146},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6879711747169495},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6003851294517517},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5807491540908813},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5090994238853455},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.49300476908683777},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4373803734779358},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.42923450469970703},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.4101763367652893},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3153829574584961},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13989755511283875}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.798618733882904},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7895251512527466},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7296546697616577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7193830013275146},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6879711747169495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6003851294517517},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5807491540908813},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5090994238853455},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.49300476908683777},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4373803734779358},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.42923450469970703},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.4101763367652893},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3153829574584961},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13989755511283875},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2008.4780110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2008.4780110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1510073064","https://openalex.org/W2041657594","https://openalex.org/W2100294832","https://openalex.org/W2104269704","https://openalex.org/W2118796925","https://openalex.org/W2140095548","https://openalex.org/W2146977819","https://openalex.org/W2147280166","https://openalex.org/W2158272077","https://openalex.org/W3119651796"],"related_works":["https://openalex.org/W2292979300","https://openalex.org/W6057950","https://openalex.org/W2056283567","https://openalex.org/W1565299197","https://openalex.org/W2088032561","https://openalex.org/W2542234468","https://openalex.org/W1585398011","https://openalex.org/W2544132760","https://openalex.org/W206259832","https://openalex.org/W2892571874"],"abstract_inverted_index":{"Usually":[0],"feature":[1,19,56],"extraction":[2,20,57],"is":[3,22,36,58],"applied":[4,84],"for":[5,26,48],"dimension":[6],"reduction":[7],"in":[8,40],"hyperspectral":[9,28],"data":[10,100],"classification":[11],"problems.":[12],"Many":[13],"studies":[14],"show":[15,102],"that":[16,103],"nonparametric":[17],"weighted":[18,44],"(NWFE)":[21],"a":[23,54,62],"powerful":[24],"tool":[25],"extracting":[27],"image":[29],"features.":[30],"The":[31,68,96],"detection":[32,66],"of":[33,98],"class":[34,64],"boundaries":[35,88],"an":[37],"important":[38],"part":[39],"NWFE":[41],"and":[42,76,92],"the":[43,77,87,104],"mean":[45],"was":[46],"defined":[47],"this":[49,52],"purpose.":[50],"In":[51],"paper,":[53],"kernel-based":[55],"proposed":[59,105],"based":[60],"on":[61],"new":[63],"boundary":[65],"mechanism.":[67],"soft-margin":[69],"support":[70,78],"vector":[71,79],"machine":[72],"(SVM)":[73],"binary":[74],"classifier":[75],"domain":[80],"description":[81],"(SVDD)":[82],"are":[83],"to":[85],"detect":[86],"between":[89],"two":[90],"classes":[91],"one":[93],"class,":[94],"respectively.":[95],"results":[97],"real":[99],"experiments":[101],"method":[106],"outperforms":[107],"original":[108],"NWFE.":[109]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"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"}