{"id":"https://openalex.org/W2810483250","doi":"https://doi.org/10.1109/rait.2018.8389024","title":"Fisher discriminant ratio based multiview active learning for the classification of remote sensing images","display_name":"Fisher discriminant ratio based multiview active learning for the classification of remote sensing images","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2810483250","doi":"https://doi.org/10.1109/rait.2018.8389024","mag":"2810483250"},"language":"en","primary_location":{"id":"doi:10.1109/rait.2018.8389024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rait.2018.8389024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 4th International Conference on Recent Advances in Information Technology (RAIT)","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/A5056639664","display_name":"Monoj K. Pradhan","orcid":null},"institutions":[{"id":"https://openalex.org/I152429107","display_name":"Jawaharlal Nehru University","ror":"https://ror.org/0567v8t28","country_code":"IN","type":"education","lineage":["https://openalex.org/I152429107"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Monoj K. Pradhan","raw_affiliation_strings":["School of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi, india"],"affiliations":[{"raw_affiliation_string":"School of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi, india","institution_ids":["https://openalex.org/I152429107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040380385","display_name":"Sonajharia Minz","orcid":"https://orcid.org/0000-0002-6227-5144"},"institutions":[{"id":"https://openalex.org/I152429107","display_name":"Jawaharlal Nehru University","ror":"https://ror.org/0567v8t28","country_code":"IN","type":"education","lineage":["https://openalex.org/I152429107"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sonajharia Minz","raw_affiliation_strings":["School of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi, india"],"affiliations":[{"raw_affiliation_string":"School of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi, india","institution_ids":["https://openalex.org/I152429107"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022205148","display_name":"Vimal K. Shrivastava","orcid":"https://orcid.org/0000-0003-0647-4541"},"institutions":[{"id":"https://openalex.org/I67357951","display_name":"KIIT University","ror":"https://ror.org/00k8zt527","country_code":"IN","type":"education","lineage":["https://openalex.org/I67357951"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vimal K. Shrivastava","raw_affiliation_strings":["School of Electronics Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India"],"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India","institution_ids":["https://openalex.org/I67357951"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056639664"],"corresponding_institution_ids":["https://openalex.org/I152429107"],"apc_list":null,"apc_paid":null,"fwci":1.0285,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.8132341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9884999990463257,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9735999703407288,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7507648468017578},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6737304329872131},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6736333966255188},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6723341941833496},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6446391940116882},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.6365349292755127},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.635918915271759},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.597223699092865},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5543361902236938},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.553412914276123},{"id":"https://openalex.org/keywords/structured-support-vector-machine","display_name":"Structured support vector machine","score":0.5321452021598816},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5257909297943115},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47355690598487854},{"id":"https://openalex.org/keywords/data-redundancy","display_name":"Data redundancy","score":0.43724334239959717},{"id":"https://openalex.org/keywords/quadratic-classifier","display_name":"Quadratic classifier","score":0.4210777282714844},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25017109513282776}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7507648468017578},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6737304329872131},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6736333966255188},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6723341941833496},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6446391940116882},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.6365349292755127},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.635918915271759},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.597223699092865},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5543361902236938},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.553412914276123},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.5321452021598816},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5257909297943115},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47355690598487854},{"id":"https://openalex.org/C7545210","wikidata":"https://www.wikidata.org/wiki/Q838123","display_name":"Data redundancy","level":2,"score":0.43724334239959717},{"id":"https://openalex.org/C52620605","wikidata":"https://www.wikidata.org/wiki/Q7268357","display_name":"Quadratic classifier","level":3,"score":0.4210777282714844},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25017109513282776},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rait.2018.8389024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rait.2018.8389024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 4th International Conference on Recent Advances in Information Technology (RAIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.75,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W68333964","https://openalex.org/W1843790725","https://openalex.org/W1965214211","https://openalex.org/W1993109245","https://openalex.org/W2000687279","https://openalex.org/W2001298023","https://openalex.org/W2002392274","https://openalex.org/W2030476695","https://openalex.org/W2045095960","https://openalex.org/W2072243389","https://openalex.org/W2078264890","https://openalex.org/W2087263574","https://openalex.org/W2099129687","https://openalex.org/W2107131609","https://openalex.org/W2113896236","https://openalex.org/W2128117981","https://openalex.org/W2132525626","https://openalex.org/W2134357733","https://openalex.org/W2134663338","https://openalex.org/W2139573966","https://openalex.org/W2144438956","https://openalex.org/W2150045166","https://openalex.org/W2151023586","https://openalex.org/W2152438175","https://openalex.org/W2166923144","https://openalex.org/W2169027522","https://openalex.org/W2341894713","https://openalex.org/W4230030242","https://openalex.org/W6650845018"],"related_works":["https://openalex.org/W2088711785","https://openalex.org/W4285246984","https://openalex.org/W2075660794","https://openalex.org/W2146026567","https://openalex.org/W2366124773","https://openalex.org/W2341643496","https://openalex.org/W2391740273","https://openalex.org/W1996980404","https://openalex.org/W2060380591","https://openalex.org/W3142456129"],"abstract_inverted_index":{"One":[0],"of":[1,18,48,58,75,87,102],"the":[2,41,65,73,103,115],"challenges":[3],"in":[4,29],"remote":[5],"sensing":[6],"image":[7],"classification":[8,53],"is":[9,20,106],"to":[10],"define":[11],"a":[12,82],"suitable":[13],"training":[14,59],"set":[15],"as":[16,31,38,81,123],"labeling":[17],"samples":[19,45,49,68],"expensive":[21],"and/or":[22],"time-consuming.":[23],"Active":[24],"learning":[25,120],"has":[26,97],"been":[27,70,98],"shown":[28],"literature":[30],"an":[32],"optimized":[33],"solution":[34],"for":[35],"aforementioned":[36],"problem":[37],"it":[39],"finds":[40],"most":[42,66],"informative":[43,67],"(uncertain)":[44],"avoiding":[46],"redundancy":[47],"thus":[50],"achieving":[51],"good":[52],"accuracy":[54],"with":[55,77,117,129],"less":[56],"number":[57],"data":[60,111],"set.":[61],"In":[62],"this":[63],"paper,":[64],"have":[69],"selected":[71],"utilizing":[72],"concept":[74],"multiview":[76],"support":[78,130],"vector":[79,131],"machine":[80,132],"classifier.":[83,133],"A":[84],"novel":[85],"approach":[86],"generating":[88],"different":[89],"views":[90],"using":[91],"Fisher":[92],"Discriminant":[93],"Ratio":[94],"(FDR)":[95],"technique":[96],"proposed":[99,104],"here.":[100],"Effectiveness":[101],"method":[105],"tested":[107],"on":[108],"two":[109],"hyperspectral":[110],"sets":[112],"and":[113,126],"compared":[114],"results":[116],"state-of-the-art":[118],"active":[119],"methods":[121],"such":[122],"random":[124],"sampling":[125,128],"marginal":[127]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}