{"id":"https://openalex.org/W2164324237","doi":"https://doi.org/10.1109/igarss.2011.6049725","title":"Branch and bound based feature elimination for support vector machine based classification of hyperspectral images","display_name":"Branch and bound based feature elimination for support vector machine based classification of hyperspectral images","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2164324237","doi":"https://doi.org/10.1109/igarss.2011.6049725","mag":"2164324237"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2011.6049725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2011.6049725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 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/A5019337252","display_name":"Sathishkumar Samiappan","orcid":"https://orcid.org/0000-0002-8443-883X"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sathishkumar Samiappan","raw_affiliation_strings":["Mississippi State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mississippi State University, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037823063","display_name":"Saurabh Prasad","orcid":"https://orcid.org/0000-0003-3729-9360"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saurabh Prasad","raw_affiliation_strings":["Mississippi State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mississippi State University, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103103246","display_name":"L.M. Bruce","orcid":"https://orcid.org/0000-0002-9380-1143"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lori M. Bruce","raw_affiliation_strings":["Mississippi State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mississippi State University, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031193472","display_name":"Eric A. Hansen","orcid":"https://orcid.org/0000-0002-8445-2375"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric A. Hansen","raw_affiliation_strings":["Mississippi State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mississippi State University, USA","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99041443"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"2523","last_page":"2526"},"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":0.9652000069618225,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9293000102043152,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8290650844573975},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7968713641166687},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7923406362533569},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7596118450164795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.720542311668396},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5935777425765991},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5819990038871765},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44315749406814575},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4423612356185913},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.42663440108299255},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4158984124660492},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36435073614120483},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32330042123794556}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8290650844573975},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7968713641166687},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7923406362533569},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7596118450164795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.720542311668396},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5935777425765991},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5819990038871765},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44315749406814575},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4423612356185913},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.42663440108299255},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4158984124660492},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36435073614120483},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32330042123794556},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2011.6049725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2011.6049725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 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":7,"referenced_works":["https://openalex.org/W204995646","https://openalex.org/W1523989055","https://openalex.org/W2087327261","https://openalex.org/W2132532785","https://openalex.org/W2144151128","https://openalex.org/W2169500530","https://openalex.org/W4212817109"],"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/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2019190440"],"abstract_inverted_index":{"Feature":[0],"selection":[1,39,71],"(FS)":[2],"is":[3,40,58,77],"a":[4,26],"classical":[5],"combinatorial":[6],"problem":[7],"in":[8,18,72],"pattern":[9],"recognition":[10],"and":[11,20,105],"data":[12,45,91],"mining.":[13],"It":[14,76],"finds":[15],"major":[16],"importance":[17],"classification":[19],"regression":[21],"scenarios.":[22],"In":[23],"this":[24,55],"paper,":[25],"hybrid":[27,56,62],"approach":[28,57,63,100],"that":[29,64,93],"combines":[30],"branch-and-bound":[31],"(BB)":[32],"search":[33],"with":[34,83,107],"Bhattacharya":[35],"distance":[36],"based":[37,69],"feature":[38,70,85,109],"presented":[41],"for":[42],"classifying":[43],"hyperspectral":[44,90],"using":[46,89],"Support":[47],"Vector":[48],"Machine":[49],"(SVM)":[50],"classifiers.":[51],"The":[52],"performance":[53],"of":[54,74],"compared":[59,79],"to":[60,80],"another":[61],"uses":[65],"genetic":[66],"algorithm":[67],"(GA)":[68],"place":[73],"BB.":[75],"also":[78],"baseline":[81],"SVMs":[82],"no":[84,108],"reduction.":[86],"Experimental":[87],"results":[88],"show":[92],"under":[94],"small":[95],"sample":[96],"size":[97],"situations,":[98],"BB":[99],"performs":[101],"better":[102],"than":[103],"GA":[104],"SVM":[106],"selection.":[110]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
