{"id":"https://openalex.org/W2765452533","doi":"https://doi.org/10.1109/whispers.2014.8077532","title":"Hyperspectral classification using stacked autoencoders with deep learning","display_name":"Hyperspectral classification using stacked autoencoders with deep learning","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2765452533","doi":"https://doi.org/10.1109/whispers.2014.8077532","mag":"2765452533"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2014.8077532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2014.8077532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 6th 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":"https://openalex.org/A5070432718","display_name":"Abdulkadir \u00d6zdemir","orcid":"https://orcid.org/0000-0002-7544-5579"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"A. Okan Bilge Ozdemir","raw_affiliation_strings":["Orta Dogu Teknik Universitesi, Ankara, Ankara, TR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Orta Dogu Teknik Universitesi, Ankara, Ankara, TR","institution_ids":["https://openalex.org/I201799495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001375267","display_name":"Bu\u011fra Gedik","orcid":"https://orcid.org/0000-0002-0622-1141"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"B. Ekin Gedik","raw_affiliation_strings":["Middle East Technical University, Informatics Institute, Ankara/TURKEY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Middle East Technical University, Informatics Institute, Ankara/TURKEY","institution_ids":["https://openalex.org/I201799495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043365454","display_name":"Co\u015fkun \u00c7etin","orcid":"https://orcid.org/0000-0001-8457-8675"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"C. Yasemin Yardimci Cetin","raw_affiliation_strings":["Orta Dogu Teknik Universitesi, Ankara, Ankara, TR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Orta Dogu Teknik Universitesi, Ankara, Ankara, TR","institution_ids":["https://openalex.org/I201799495"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I201799495"],"apc_list":null,"apc_paid":null,"fwci":0.5135,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.66306063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"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":1.0,"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":1.0,"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":0.9822999835014343,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9793999791145325,"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":0.9529112577438354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8062195777893066},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7675944566726685},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.728209376335144},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5955818891525269},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42092663049697876},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09160634875297546}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9529112577438354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8062195777893066},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7675944566726685},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.728209376335144},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5955818891525269},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42092663049697876},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09160634875297546},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/whispers.2014.8077532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2014.8077532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"},{"id":"pmh:oai:open.metu.edu.tr:11511/53347","is_oa":false,"landing_page_url":"https://hdl.handle.net/11511/53347","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1734659956","https://openalex.org/W2043665634","https://openalex.org/W2068150776","https://openalex.org/W2072128103","https://openalex.org/W2097915756","https://openalex.org/W2127271355","https://openalex.org/W2130835014","https://openalex.org/W2145035344","https://openalex.org/W2160979406","https://openalex.org/W2164437025","https://openalex.org/W4231109964","https://openalex.org/W4320339642","https://openalex.org/W6637463579"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W4321369474","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"In":[0],"this":[1,56],"study,":[2],"stacked":[3,60,71],"autoencoders":[4],"which":[5],"are":[6,13,36,63,78,89,114],"widely":[7],"utilized":[8],"in":[9,39,80],"deep":[10,31,45],"learning":[11,32,46],"research":[12],"applied":[14],"to":[15,54],"remote":[16],"sensing":[17],"domain":[18],"for":[19,30,48],"hyperspectral":[20,24,49,98],"classification.":[21],"High":[22],"dimensional":[23],"data":[25,77],"is":[26,100,108],"an":[27,81],"excellent":[28],"candidate":[29],"methods.":[33],"However,":[34],"there":[35],"no":[37],"works":[38],"literature":[40],"that":[41],"focuses":[42],"on":[43,65],"such":[44],"approaches":[47],"imagery.":[50],"This":[51],"study":[52],"aims":[53],"fill":[55],"gap":[57],"by":[58],"utilizing":[59],"autoencoders.":[61],"Experiments":[62],"conducted":[64],"the":[66,76,117],"Pavia":[67],"University":[68],"scene.":[69],"Using":[70,84],"autoencoders,":[72],"intrinsic":[73],"representations":[74,88],"of":[75,104],"learned":[79],"unsupervised":[82],"way.":[83],"labeled":[85],"data,":[86],"these":[87],"fine":[90],"tuned.":[91],"Then,":[92],"using":[93],"a":[94],"soft-max":[95],"activation":[96],"function,":[97],"classification":[99],"done.":[101],"Parameter":[102],"optimization":[103],"Stacked":[105],"Autoencoders":[106],"(SAE)":[107],"done":[109],"with":[110,116],"extensive":[111],"experiments.":[112],"Results":[113],"competitive":[115],"state-of-the-art":[118],"techniques.":[119]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
