{"id":"https://openalex.org/W2099170171","doi":"https://doi.org/10.1109/whispers.2010.5594951","title":"Stochastic feature selection with distributed feature spacing for hyperspectral data","display_name":"Stochastic feature selection with distributed feature spacing for hyperspectral data","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2099170171","doi":"https://doi.org/10.1109/whispers.2010.5594951","mag":"2099170171"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2010.5594951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2010.5594951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","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/A5082628556","display_name":"Jeffrey Clark","orcid":null},"institutions":[{"id":"https://openalex.org/I55061410","display_name":"U.S. Air Force Institute of Technology","ror":"https://ror.org/03f9f1d95","country_code":"US","type":"education","lineage":["https://openalex.org/I1294991024","https://openalex.org/I1330347796","https://openalex.org/I1330347796","https://openalex.org/I2802362820","https://openalex.org/I4210089612","https://openalex.org/I4210102105","https://openalex.org/I4210102105","https://openalex.org/I55061410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey D. Clark","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Air Force Institute of Technology, OH, USA","Department of Electrical and Computer Engineering Air Force Institute of Technology Wright-Patterson AFB, OH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Air Force Institute of Technology, OH, USA","institution_ids":["https://openalex.org/I55061410"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering Air Force Institute of Technology Wright-Patterson AFB, OH","institution_ids":["https://openalex.org/I55061410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111979976","display_name":"Michael J. Mendenhall","orcid":null},"institutions":[{"id":"https://openalex.org/I55061410","display_name":"U.S. Air Force Institute of Technology","ror":"https://ror.org/03f9f1d95","country_code":"US","type":"education","lineage":["https://openalex.org/I1294991024","https://openalex.org/I1330347796","https://openalex.org/I1330347796","https://openalex.org/I2802362820","https://openalex.org/I4210089612","https://openalex.org/I4210102105","https://openalex.org/I4210102105","https://openalex.org/I55061410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael J. Mendenhall","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Air Force Institute of Technology, OH, USA","Department of Electrical and Computer Engineering Air Force Institute of Technology Wright-Patterson AFB, OH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Air Force Institute of Technology, OH, USA","institution_ids":["https://openalex.org/I55061410"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering Air Force Institute of Technology Wright-Patterson AFB, OH","institution_ids":["https://openalex.org/I55061410"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085916845","display_name":"Gilbert L. Peterson","orcid":"https://orcid.org/0000-0002-6241-3084"},"institutions":[{"id":"https://openalex.org/I55061410","display_name":"U.S. Air Force Institute of Technology","ror":"https://ror.org/03f9f1d95","country_code":"US","type":"education","lineage":["https://openalex.org/I1294991024","https://openalex.org/I1330347796","https://openalex.org/I1330347796","https://openalex.org/I2802362820","https://openalex.org/I4210089612","https://openalex.org/I4210102105","https://openalex.org/I4210102105","https://openalex.org/I55061410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gilbert L. Peterson","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Air Force Institute of Technology, OH, USA","Department of Electrical and Computer Engineering Air Force Institute of Technology Wright-Patterson AFB, OH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Air Force Institute of Technology, OH, USA","institution_ids":["https://openalex.org/I55061410"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering Air Force Institute of Technology Wright-Patterson AFB, OH","institution_ids":["https://openalex.org/I55061410"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I55061410"],"apc_list":null,"apc_paid":null,"fwci":1.0501,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76308784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9926999807357788,"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":0.9926999807357788,"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":0.988099992275238,"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":0.9765999913215637,"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/feature-selection","display_name":"Feature selection","score":0.8189485669136047},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7243847846984863},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6746994853019714},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6597948670387268},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6305924654006958},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.5915096402168274},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5830913782119751},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5654503703117371},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47209829092025757},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.46897873282432556},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4558599591255188},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36967968940734863},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3385690450668335}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8189485669136047},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7243847846984863},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6746994853019714},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6597948670387268},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6305924654006958},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.5915096402168274},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5830913782119751},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5654503703117371},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47209829092025757},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.46897873282432556},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4558599591255188},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36967968940734863},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3385690450668335},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/whispers.2010.5594951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2010.5594951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1553373771","https://openalex.org/W2116661285","https://openalex.org/W2122410182","https://openalex.org/W2133462743","https://openalex.org/W2136944379","https://openalex.org/W2623293810","https://openalex.org/W2998216295","https://openalex.org/W4285719527","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2072166414","https://openalex.org/W2296488620","https://openalex.org/W2358353312"],"abstract_inverted_index":{"Feature":[0],"subset":[1],"selection":[2,18,32,46,117,143],"is":[3,16,38,121],"a":[4,23,50,53,124,139,147],"well":[5],"studied":[6],"problem":[7,129],"in":[8,103],"machine":[9],"learning.":[10],"One":[11],"short-coming":[12],"of":[13,19,25,61,75,89,113,141,150],"many":[14],"methods":[15,144],"the":[17,59,87,93,101],"highly":[20],"correlated":[21,108],"features;":[22],"characteristic":[24],"hyperspec-tral":[26],"data.":[27],"A":[28],"novel":[29],"stochastic":[30],"feature":[31,45,116,142],"method":[33,47,120],"with":[34,138],"three":[35],"major":[36],"components":[37],"presented.":[39],"First,":[40],"we":[41,67,85],"present":[42],"an":[43],"optimized":[44],"that":[48,145],"maximizes":[49],"heuristic":[51],"using":[52],"simulated":[54],"annealing":[55],"search":[56],"which":[57],"increases":[58],"chance":[60],"avoiding":[62],"locally":[63],"optimum":[64],"solutions.":[65],"Second,":[66],"exploit":[68],"local":[69],"cross":[70],"correlation":[71],"pair-wise":[72],"amongst":[73],"classes":[74],"interest":[76],"to":[77,97,105],"select":[78,106],"suitable":[79],"features":[80,99],"for":[81],"class":[82],"discrimination.":[83],"Third,":[84],"adopt":[86],"concept":[88],"distributed":[90],"spacing":[91],"from":[92],"multi-objective":[94],"optimization":[95],"community":[96],"distribute":[98],"across":[100],"spectrum":[102],"order":[104],"less":[107],"features.":[109],"The":[110],"classification":[111,119,128],"performance":[112],"our":[114],"semi-embedded":[115],"and":[118],"demonstrated":[122],"on":[123],"12-class":[125],"textile":[126],"hyperspectral":[127],"under":[130],"several":[131],"noise":[132],"realizations.":[133],"These":[134],"results":[135],"are":[136],"compared":[137],"variety":[140],"cover":[146],"broad":[148],"range":[149],"approaches.":[151]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}