{"id":"https://openalex.org/W2439208816","doi":"https://doi.org/10.1109/siu.2016.7495887","title":"A probabilistic method for the classification of hyperspectral images","display_name":"A probabilistic method for the classification of hyperspectral images","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2439208816","doi":"https://doi.org/10.1109/siu.2016.7495887","mag":"2439208816"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2016.7495887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2016.7495887","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th Signal Processing and Communication Application Conference (SIU)","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/A5090058172","display_name":"Sezer Kutluk","orcid":"https://orcid.org/0000-0002-3048-5526"},"institutions":[{"id":"https://openalex.org/I67581229","display_name":"Istanbul University","ror":"https://ror.org/03a5qrr21","country_code":"TR","type":"education","lineage":["https://openalex.org/I67581229"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Sezer Kutluk","raw_affiliation_strings":["Elektrik-Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, \u0130stanbul \u00dcniversitesi, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Elektrik-Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, \u0130stanbul \u00dcniversitesi, T\u00fcrkiye","institution_ids":["https://openalex.org/I67581229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054230085","display_name":"Koray Kayabol","orcid":"https://orcid.org/0000-0003-0053-2800"},"institutions":[{"id":"https://openalex.org/I109297418","display_name":"Gebze Technical University","ror":"https://ror.org/01sdnnq10","country_code":"TR","type":"education","lineage":["https://openalex.org/I109297418"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Koray Kayabol","raw_affiliation_strings":["Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Gebze Teknik \u00dcniversitesi, Kocaeli, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Gebze Teknik \u00dcniversitesi, Kocaeli, T\u00fcrkiye","institution_ids":["https://openalex.org/I109297418"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012672901","display_name":"Ayd\u0131n Akan","orcid":"https://orcid.org/0000-0001-8894-5794"},"institutions":[{"id":"https://openalex.org/I67581229","display_name":"Istanbul University","ror":"https://ror.org/03a5qrr21","country_code":"TR","type":"education","lineage":["https://openalex.org/I67581229"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Aydin Akan","raw_affiliation_strings":["Elektrik-Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, \u0130stanbul \u00dcniversitesi, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Elektrik-Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, \u0130stanbul \u00dcniversitesi, T\u00fcrkiye","institution_ids":["https://openalex.org/I67581229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090058172"],"corresponding_institution_ids":["https://openalex.org/I67581229"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07245794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"905","last_page":"908"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991000294685364,"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":0.9991000294685364,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9925000071525574,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9782999753952026,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8636816740036011},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.8038784265518188},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7579388618469238},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7574591636657715},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7238946557044983},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6948404312133789},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.6711820960044861},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5699281692504883},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5483503937721252},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5132343769073486},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.46994808316230774},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.42317190766334534},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.33845967054367065}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8636816740036011},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.8038784265518188},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7579388618469238},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7574591636657715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7238946557044983},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6948404312133789},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.6711820960044861},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5699281692504883},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5483503937721252},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5132343769073486},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.46994808316230774},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.42317190766334534},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.33845967054367065},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2016.7495887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2016.7495887","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th Signal Processing and Communication Application Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1522995767","https://openalex.org/W2039091194","https://openalex.org/W2042844016","https://openalex.org/W2061115813","https://openalex.org/W2096201283","https://openalex.org/W2111733996","https://openalex.org/W2114220616","https://openalex.org/W2115296699","https://openalex.org/W2119897980","https://openalex.org/W2125027820","https://openalex.org/W2132106992","https://openalex.org/W2136573752","https://openalex.org/W2208523048","https://openalex.org/W2341545927"],"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/W2292979300","https://openalex.org/W2137369096","https://openalex.org/W1992295166","https://openalex.org/W2545529375","https://openalex.org/W2143508933"],"abstract_inverted_index":{"In":[0],"this":[1,16,37],"study":[2],"a":[3,29],"supervised":[4],"classification":[5,47],"and":[6,28],"dimensionality":[7,24],"reduction":[8,25],"method":[9],"for":[10],"hyperspectral":[11],"images":[12],"is":[13,26,34,42],"proposed.":[14],"For":[15],"purpose,":[17],"using":[18],"probabilistic":[19],"principal":[20],"component":[21],"analysis":[22],"(PPCA),":[23],"performed":[27],"Gaussian":[30],"mixture":[31,38],"model":[32],"(GMM)":[33],"built.":[35],"Alongside":[36],"model,":[39],"spatial":[40],"information":[41],"also":[43],"included":[44],"into":[45],"the":[46],"process":[48],"by":[49],"taking":[50],"advantage":[51],"of":[52],"pixel":[53],"neighborhoods.":[54]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}