{"id":"https://openalex.org/W2767164361","doi":"https://doi.org/10.1109/whispers.2013.8080616","title":"Classification of hyperspectral images with Self Organizing Map","display_name":"Classification of hyperspectral images with Self Organizing Map","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2767164361","doi":"https://doi.org/10.1109/whispers.2013.8080616","mag":"2767164361"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2013.8080616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2013.8080616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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":null,"display_name":"May Stephane","orcid":null},"institutions":[{"id":"https://openalex.org/I2799535048","display_name":"Centre National d'\u00c9tudes Spatiales","ror":"https://ror.org/04h1h0y33","country_code":"FR","type":"government","lineage":["https://openalex.org/I2799535048"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"May Stephane","raw_affiliation_strings":["CNES DCT/SI, Toulouse Cedex 9, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNES DCT/SI, Toulouse Cedex 9, France","institution_ids":["https://openalex.org/I2799535048"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2799535048"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.38868101,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"16","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":0.9965999722480774,"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":0.9965999722480774,"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/T10320","display_name":"Neural Networks and Applications","score":0.9961000084877014,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.991100013256073,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9174968600273132},{"id":"https://openalex.org/keywords/self-organizing-map","display_name":"Self-organizing map","score":0.796200156211853},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.669082760810852},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6645309925079346},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.648960530757904},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6436340808868408},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6086926460266113},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5272293090820312},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4926512837409973},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45899465680122375},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37244391441345215},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3261953592300415},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17387661337852478}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9174968600273132},{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.796200156211853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.669082760810852},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6645309925079346},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.648960530757904},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6436340808868408},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6086926460266113},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5272293090820312},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4926512837409973},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45899465680122375},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37244391441345215},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3261953592300415},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17387661337852478},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"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/whispers.2013.8080616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2013.8080616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W821066772","https://openalex.org/W1990517717","https://openalex.org/W2111051427","https://openalex.org/W2135146380","https://openalex.org/W2139094401","https://openalex.org/W6623302430","https://openalex.org/W7057360965"],"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/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2019190440","https://openalex.org/W2292979300"],"abstract_inverted_index":{"The":[0],"aim":[1],"of":[2,10],"this":[3],"paper":[4,33],"is":[5],"to":[6],"demonstrate":[7],"the":[8],"feasibility":[9],"using":[11],"Self":[12,19],"Organizing":[13],"Map":[14],"for":[15,25,39,45],"hyperspectral":[16,46],"image":[17],"classification.":[18,31,47],"organizing":[20],"maps":[21],"are":[22],"widely":[23],"used":[24],"dimension":[26],"reduction,":[27],"clustering":[28],"techniques":[29],"and":[30,42],"This":[32],"describes":[34],"a":[35],"modified":[36],"SOM":[37],"algorithm":[38],"learning":[40],"process,":[41],"its":[43],"use":[44]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}