{"id":"https://openalex.org/W2126462847","doi":"https://doi.org/10.1109/igarss.2004.1370310","title":"Hyperspectral data classification using classifier overproduction and fusion strategies","display_name":"Hyperspectral data classification using classifier overproduction and fusion strategies","publication_year":2004,"publication_date":"2004-12-23","ids":{"openalex":"https://openalex.org/W2126462847","doi":"https://doi.org/10.1109/igarss.2004.1370310","mag":"2126462847"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2004.1370310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2004.1370310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004","raw_type":"proceedings-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/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":true,"raw_author_name":"Bor-Chen Kuo","raw_affiliation_strings":["Graduate School of Educational Measurement and Statistics, National Taichung Teachers College, Taichung, Taiwan","Graduate Sch. of Educ. Meas. & Stat., Nat. Taichung Teachers Coll., Taiwan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Educational Measurement and Statistics, National Taichung Teachers College, Taichung, Taiwan","institution_ids":["https://openalex.org/I34574549"]},{"raw_affiliation_string":"Graduate Sch. of Educ. Meas. & Stat., Nat. Taichung Teachers Coll., Taiwan","institution_ids":["https://openalex.org/I34574549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082787868","display_name":"Chia-Hao Pai","orcid":null},"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":"Chia-Hao Pai","raw_affiliation_strings":["Graduate School of Educational Measurement and Statistics, National Taichung Teachers College, Taichung, Taiwan","Graduate Sch. of Educ. Meas. & Stat., Nat. Taichung Teachers Coll., Taiwan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Educational Measurement and Statistics, National Taichung Teachers College, Taichung, Taiwan","institution_ids":["https://openalex.org/I34574549"]},{"raw_affiliation_string":"Graduate Sch. of Educ. Meas. & Stat., Nat. Taichung Teachers Coll., Taiwan","institution_ids":["https://openalex.org/I34574549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064064276","display_name":"Tian-Wei Sheu","orcid":null},"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":"Tian-Wei Sheu","raw_affiliation_strings":["Graduate School of Educational Measurement and Statistics, National Taichung Teachers College, Taichung, Taiwan","Graduate Sch. of Educ. Meas. & Stat., Nat. Taichung Teachers Coll., Taiwan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Educational Measurement and Statistics, National Taichung Teachers College, Taichung, Taiwan","institution_ids":["https://openalex.org/I34574549"]},{"raw_affiliation_string":"Graduate Sch. of Educ. Meas. & Stat., Nat. Taichung Teachers Coll., Taiwan","institution_ids":["https://openalex.org/I34574549"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026260756","display_name":"Guey-Shya Chen","orcid":null},"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":"Guey-Shya Chen","raw_affiliation_strings":["Graduate School of Educational Measurement and Statistics, National Taichung Teachers College, Taichung, Taiwan","Graduate Sch. of Educ. Meas. & Stat., Nat. Taichung Teachers Coll., Taiwan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Educational Measurement and Statistics, National Taichung Teachers College, Taichung, Taiwan","institution_ids":["https://openalex.org/I34574549"]},{"raw_affiliation_string":"Graduate Sch. of Educ. Meas. & Stat., Nat. Taichung Teachers Coll., Taiwan","institution_ids":["https://openalex.org/I34574549"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5054302891"],"corresponding_institution_ids":["https://openalex.org/I34574549"],"apc_list":null,"apc_paid":null,"fwci":0.6651,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76568838,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"2937","last_page":"2940"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.998199999332428,"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":0.998199999332428,"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/T10057","display_name":"Face and Expression Recognition","score":0.9965999722480774,"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"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8696863651275635},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7827740907669067},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6522842645645142},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6222046613693237},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6077591180801392},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6001750826835632},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.559032142162323},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.5559729933738708},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.534507155418396},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4441041946411133},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4311820864677429},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3368775248527527}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8696863651275635},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7827740907669067},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6522842645645142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6222046613693237},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6077591180801392},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6001750826835632},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.559032142162323},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.5559729933738708},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.534507155418396},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4441041946411133},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4311820864677429},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3368775248527527},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2004.1370310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2004.1370310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004","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":13,"referenced_works":["https://openalex.org/W1520291720","https://openalex.org/W1883340868","https://openalex.org/W2049235942","https://openalex.org/W2112076978","https://openalex.org/W2113242816","https://openalex.org/W2118796925","https://openalex.org/W2135346934","https://openalex.org/W2157124852","https://openalex.org/W2158275940","https://openalex.org/W2912934387","https://openalex.org/W4212883601","https://openalex.org/W6676769703","https://openalex.org/W6677144717"],"related_works":["https://openalex.org/W2007593166","https://openalex.org/W1603777065","https://openalex.org/W2143234973","https://openalex.org/W2397292208","https://openalex.org/W4221136059","https://openalex.org/W1548677759","https://openalex.org/W109131529","https://openalex.org/W1503513760","https://openalex.org/W2073883415","https://openalex.org/W2595439317"],"abstract_inverted_index":{"A":[0],"new":[1],"hybrid":[2],"algorithm":[3,35],"based":[4],"on":[5],"bagging":[6],"and":[7,25,32,53],"random":[8,30],"subspace":[9,31],"methods":[10],"is":[11],"proposed":[12,34,46],"for":[13],"improving":[14],"hyperspectral":[15],"data":[16,24,27,40],"classification":[17],"problem.":[18],"The":[19],"effects":[20],"of":[21],"using":[22],"original":[23,52],"transformed":[26],"in":[28,50],"bagging,":[29],"the":[33,45],"are":[36],"also":[37],"explored.":[38],"Real":[39],"experiment":[41],"result":[42],"shows":[43],"that":[44],"method":[47],"performs":[48],"well":[49],"both":[51],"NWFE":[54],"feature":[55],"spaces.":[56]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}