{"id":"https://openalex.org/W2766696940","doi":"https://doi.org/10.1109/whispers.2016.8071806","title":"Optimizing classification using multi-classifiers for spaceborne hyperspectral dataset","display_name":"Optimizing classification using multi-classifiers for spaceborne hyperspectral dataset","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2766696940","doi":"https://doi.org/10.1109/whispers.2016.8071806","mag":"2766696940"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2016.8071806","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2016.8071806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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/A5052353349","display_name":"Mahendra K. Pal","orcid":"https://orcid.org/0000-0002-7271-9570"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"M. K. Pal","raw_affiliation_strings":["Center of Studies in Resources Engineering, Indian Institute of Technology Bombay, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Center of Studies in Resources Engineering, Indian Institute of Technology Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011288887","display_name":"Alok Porwal","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A. Porwal","raw_affiliation_strings":["Center of Studies in Resources Engineering, Indian Institute of Technology Bombay, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Center of Studies in Resources Engineering, Indian Institute of Technology Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5052353349"],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":0.6459,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.78394672,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"123","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":0.9998999834060669,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9861999750137329,"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":0.8189661502838135},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7062833905220032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7020303606987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6639711856842041},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6428345441818237},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6188920140266418},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5282601118087769},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4984166622161865},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.48565566539764404},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4004903733730316},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33673906326293945},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2366926372051239},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11491754651069641}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8189661502838135},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7062833905220032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7020303606987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6639711856842041},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6428345441818237},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6188920140266418},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5282601118087769},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4984166622161865},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.48565566539764404},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4004903733730316},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33673906326293945},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2366926372051239},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11491754651069641},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2016.8071806","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2016.8071806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1979789940","https://openalex.org/W1988872138","https://openalex.org/W2010319424","https://openalex.org/W2011315899","https://openalex.org/W2011721770","https://openalex.org/W2012749606","https://openalex.org/W2060384859","https://openalex.org/W2082234932","https://openalex.org/W2133782497","https://openalex.org/W2136134691","https://openalex.org/W2744043830"],"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/W2076134148","https://openalex.org/W2005234362","https://openalex.org/W1997235926"],"abstract_inverted_index":{"A":[0],"method":[1,98,120],"for":[2,42,48,67,81],"enhancing":[3],"the":[4,64,85,119],"classification":[5,28,125],"accuracy":[6,16,38,55,62,66,89],"from":[7,104],"hyperspectral":[8],"remote":[9],"sensing":[10],"images":[11,29],"using":[12,32],"multiple":[13],"classifiers":[14],"and":[15,45,70],"assessments":[17,39],"is":[18,22,57,76,121],"presented.":[19],"The":[20,97,115],"methodology":[21],"implemented":[23],"in":[24,94,111,123],"four":[25],"steps.":[26],"First,":[27],"are":[30,40],"generated":[31],"a":[33,79,105],"variety":[34],"of":[35],"classifiers.":[36,96],"Second,":[37],"performed":[41],"each":[43,68,74],"class":[44,61,69,80],"overall":[46,53,65,87],"classification,":[47],"every":[49,71],"classifier.":[50,72],"Third,":[51],"an":[52],"within-class":[54,88],"index":[56,90],"estimated":[58],"by":[59],"weighting":[60],"with":[63],"Finally,":[73],"pixel":[75],"assigned":[77],"to":[78],"which":[82],"it":[83],"has":[84],"highest":[86],"amongst":[91],"all":[92,95],"classes":[93],"was":[99],"tested":[100],"on":[101],"Hyperion":[102],"image":[103],"study":[106],"area":[107],"over":[108],"Udaipur":[109],"City":[110],"southcentral":[112],"Rajasthan,":[113],"India.":[114],"results":[116],"indicate":[117],"that":[118],"effective":[122],"increasing":[124],"accuracy.":[126]},"counts_by_year":[{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
