{"id":"https://openalex.org/W3120761542","doi":"https://doi.org/10.1109/siu49456.2020.9302204","title":"Feature Extraction with Bidirectional Encoder Representations from Transformers in Hyperspectral Images","display_name":"Feature Extraction with Bidirectional Encoder Representations from Transformers in Hyperspectral Images","publication_year":2020,"publication_date":"2020-10-05","ids":{"openalex":"https://openalex.org/W3120761542","doi":"https://doi.org/10.1109/siu49456.2020.9302204","mag":"3120761542"},"language":"en","primary_location":{"id":"doi:10.1109/siu49456.2020.9302204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu49456.2020.9302204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th Signal Processing and Communications Applications 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/A5088753165","display_name":"Ibrahim Onur S\u0131\u011f\u0131rc\u0131","orcid":"https://orcid.org/0000-0002-6596-9635"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ibrahim Onur Sigirci","raw_affiliation_strings":["Loodos Tech., Maslak Mah. Büyükdere Cad. Noramin Is Merkezi,Istanbul,Turkiye,34398"],"affiliations":[{"raw_affiliation_string":"Loodos Tech., Maslak Mah. Büyükdere Cad. Noramin Is Merkezi,Istanbul,Turkiye,34398","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011990751","display_name":"Hakan Ozgur","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hakan Ozgur","raw_affiliation_strings":["Loodos Tech., Maslak Mah. Büyükdere Cad. Noramin Is Merkezi,Istanbul,Turkiye,34398"],"affiliations":[{"raw_affiliation_string":"Loodos Tech., Maslak Mah. Büyükdere Cad. Noramin Is Merkezi,Istanbul,Turkiye,34398","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082045666","display_name":"G\u00f6khan Bilgin","orcid":"https://orcid.org/0000-0002-5532-477X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gokhan Bilgin","raw_affiliation_strings":["Yıldız Teknik Üniversitesi,Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc,Istanbul,Turkiye,34220"],"affiliations":[{"raw_affiliation_string":"Yıldız Teknik Üniversitesi,Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc,Istanbul,Turkiye,34220","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088753165"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5092,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.87482545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9760000109672546,"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":0.9706000089645386,"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":0.8895219564437866},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7594021558761597},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7067358493804932},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6302300691604614},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5591607689857483},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.527474582195282},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5081572532653809},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4966049790382385},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.46875429153442383},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4448099434375763},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.41016942262649536},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.1663675308227539},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10255163908004761}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8895219564437866},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7594021558761597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7067358493804932},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6302300691604614},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5591607689857483},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.527474582195282},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5081572532653809},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4966049790382385},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.46875429153442383},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4448099434375763},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.41016942262649536},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.1663675308227539},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10255163908004761},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/siu49456.2020.9302204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu49456.2020.9302204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2067532478","https://openalex.org/W2101711129","https://openalex.org/W2104269704","https://openalex.org/W2125799222","https://openalex.org/W2128898747","https://openalex.org/W2136251662","https://openalex.org/W2160662337","https://openalex.org/W2164330327","https://openalex.org/W2963341956","https://openalex.org/W2963748441","https://openalex.org/W2971432438","https://openalex.org/W2996428491","https://openalex.org/W3101640299"],"related_works":["https://openalex.org/W2391683795","https://openalex.org/W3148227991","https://openalex.org/W1486593826","https://openalex.org/W3036216071","https://openalex.org/W2771174107","https://openalex.org/W1536965844","https://openalex.org/W2344941099","https://openalex.org/W4322212724","https://openalex.org/W2106788855","https://openalex.org/W3081561710"],"abstract_inverted_index":{"The":[0,118],"spectral":[1,97,100],"information":[2,27,58,109],"alone":[3],"is":[4,28,140],"not":[5],"sufficient":[6],"to":[7,42,64,83,130],"achieve":[8],"successful":[9],"results":[10,119,132,145],"in":[11,45,56,74,112,146],"the":[12,21,43,66,70,75,85,88,96,121,131,135,138],"classification":[13,24],"of":[14,23,77,120,137,148],"hyperspectral":[15],"images.":[16],"In":[17,31],"studies":[18],"on":[19],"increasing":[20],"success":[22],"results,":[25],"spatial":[26,57,108],"also":[29],"exploited.":[30],"this":[32],"study,":[33],"BERT":[34,122],"and":[35,91,94,114,123],"ALBERT":[36,124,142],"models,":[37,61],"which":[38,62],"were":[39],"recently":[40],"introduced":[41],"literature":[44],"natural":[46,78],"language":[47,79],"processing,":[48,80],"have":[49,103],"been":[50,104],"used":[51,82],"as":[52],"feature":[53],"extraction":[54],"models":[55,115,125],"acquisition.":[59],"These":[60],"try":[63],"understand":[65],"context":[67],"by":[68,106],"learning":[69],"relationship":[71,86],"between":[72,87],"tokens":[73],"field":[76],"are":[81,110,116,126],"learn":[84],"pixel":[89],"itself":[90],"its":[92],"neighbors":[93],"rearrange":[95],"signature.":[98],"Then,":[99],"signatures":[101],"that":[102],"rearranged":[105],"using":[107],"trained":[111],"classifiers":[113],"created.":[117],"presented":[127],"comparatively.":[128],"According":[129],"obtained,":[133],"although":[134],"size":[136],"model":[139],"small,":[141],"produced":[143],"better":[144],"twelve":[147],"twenty":[149],"tests.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}