{"id":"https://openalex.org/W4312992234","doi":"https://doi.org/10.1109/igarss46834.2022.9884494","title":"Self Supervised Learning for Few Shot Hyperspectral Image Classification","display_name":"Self Supervised Learning for Few Shot Hyperspectral Image Classification","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312992234","doi":"https://doi.org/10.1109/igarss46834.2022.9884494"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9884494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884494","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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/A5061219999","display_name":"Nassim Ait Ali Braham","orcid":"https://orcid.org/0009-0001-3346-3373"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Nassim Ait Ali Braham","raw_affiliation_strings":["Remote Sensing Technology Institute (IMF),German Aerospace Center (DLR),Wessling,Germany","German Aerospace Center (DLR), Remote Sensing Technology Institute (IMF), Wessling, Germany"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Technology Institute (IMF),German Aerospace Center (DLR),Wessling,Germany","institution_ids":["https://openalex.org/I2898391981"]},{"raw_affiliation_string":"German Aerospace Center (DLR), Remote Sensing Technology Institute (IMF), Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024379450","display_name":"Lichao Mou","orcid":"https://orcid.org/0000-0001-8407-6413"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lichao Mou","raw_affiliation_strings":["Remote Sensing Technology Institute (IMF),German Aerospace Center (DLR),Wessling,Germany","Technical University of Munich (TUM), Data Science in Earth Observation (SiPEO), Munich, Germany","German Aerospace Center (DLR), Remote Sensing Technology Institute (IMF), Wessling, Germany"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Technology Institute (IMF),German Aerospace Center (DLR),Wessling,Germany","institution_ids":["https://openalex.org/I2898391981"]},{"raw_affiliation_string":"Technical University of Munich (TUM), Data Science in Earth Observation (SiPEO), Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"German Aerospace Center (DLR), Remote Sensing Technology Institute (IMF), Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106124934","display_name":"Jocelyn Chanussot","orcid":"https://orcid.org/0000-0003-4817-2875"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210101348","display_name":"Centre Inria de l'Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/00n8d6z93","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210101348"]},{"id":"https://openalex.org/I4210149092","display_name":"Laboratoire Jean Kuntzmann","ror":"https://ror.org/04ett5b41","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210149092","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jocelyn Chanussot","raw_affiliation_strings":["Inria, Univ. Grenoble Alpes, CNRS, Grenoble INP, LJK,Grenoble,France","Inria, Univ. Grenoble Alpes, CNRS, Grenoble INP, LJK, Grenoble, France"],"affiliations":[{"raw_affiliation_string":"Inria, Univ. Grenoble Alpes, CNRS, Grenoble INP, LJK,Grenoble,France","institution_ids":["https://openalex.org/I4210101348","https://openalex.org/I4210149092","https://openalex.org/I1294671590","https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"raw_affiliation_string":"Inria, Univ. Grenoble Alpes, CNRS, Grenoble INP, LJK, Grenoble, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210149092","https://openalex.org/I4210101348","https://openalex.org/I899635006","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062817741","display_name":"Julien Mairal","orcid":"https://orcid.org/0000-0001-6991-2110"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210101348","display_name":"Centre Inria de l'Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/00n8d6z93","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210101348"]},{"id":"https://openalex.org/I4210149092","display_name":"Laboratoire Jean Kuntzmann","ror":"https://ror.org/04ett5b41","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210149092","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Julien Mairal","raw_affiliation_strings":["Inria, Univ. Grenoble Alpes, CNRS, Grenoble INP, LJK,Grenoble,France","Inria, Univ. Grenoble Alpes, CNRS, Grenoble INP, LJK, Grenoble, France"],"affiliations":[{"raw_affiliation_string":"Inria, Univ. Grenoble Alpes, CNRS, Grenoble INP, LJK,Grenoble,France","institution_ids":["https://openalex.org/I4210101348","https://openalex.org/I4210149092","https://openalex.org/I1294671590","https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"raw_affiliation_string":"Inria, Univ. Grenoble Alpes, CNRS, Grenoble INP, LJK, Grenoble, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210149092","https://openalex.org/I4210101348","https://openalex.org/I899635006","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068384981","display_name":"Xiao Xiang Zhu","orcid":"https://orcid.org/0000-0001-5530-3613"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Xiao Xiang Zhu","raw_affiliation_strings":["Remote Sensing Technology Institute (IMF),German Aerospace Center (DLR),Wessling,Germany","Technical University of Munich (TUM), Data Science in Earth Observation (SiPEO), Munich, Germany","German Aerospace Center (DLR), Remote Sensing Technology Institute (IMF), Wessling, Germany"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Technology Institute (IMF),German Aerospace Center (DLR),Wessling,Germany","institution_ids":["https://openalex.org/I2898391981"]},{"raw_affiliation_string":"Technical University of Munich (TUM), Data Science in Earth Observation (SiPEO), Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"German Aerospace Center (DLR), Remote Sensing Technology Institute (IMF), Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5061219999"],"corresponding_institution_ids":["https://openalex.org/I2898391981"],"apc_list":null,"apc_paid":null,"fwci":3.3415,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.95313225,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"267","last_page":"270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9843000173568726,"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":0.9811000227928162,"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":0.8243009448051453},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.8131146430969238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7748714685440063},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7636092901229858},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.671522319316864},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6352403163909912},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5970878601074219},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4826229512691498},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.44595929980278015},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.42874765396118164},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42845386266708374},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.38388511538505554},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.36847251653671265}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8243009448051453},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8131146430969238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7748714685440063},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7636092901229858},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.671522319316864},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6352403163909912},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5970878601074219},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4826229512691498},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.44595929980278015},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.42874765396118164},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42845386266708374},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.38388511538505554},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36847251653671265}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss46834.2022.9884494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884494","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:elib.dlr.de:193316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/IGARSS46834.2022.9884494>.","pdf_url":null,"source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2757208835","https://openalex.org/W2768975974","https://openalex.org/W2898204262","https://openalex.org/W2962770389","https://openalex.org/W2964246847","https://openalex.org/W3023371261","https://openalex.org/W3098388691","https://openalex.org/W3099850646","https://openalex.org/W3134652006","https://openalex.org/W3212507035","https://openalex.org/W6758354414","https://openalex.org/W6785554364","https://openalex.org/W6791742336","https://openalex.org/W6803776013"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2027399350","https://openalex.org/W2060875994","https://openalex.org/W2044184146","https://openalex.org/W2019190440","https://openalex.org/W3034864990","https://openalex.org/W4230131218"],"abstract_inverted_index":{"Deep":[0],"learning":[1,32],"has":[2],"proven":[3],"to":[4,23,52],"be":[5],"a":[6,73,83],"very":[7],"effective":[8],"approach":[9,92],"for":[10,33,42,58],"Hyperspectral":[11],"Image":[12],"(HSI)":[13],"classification.":[14,60],"However,":[15],"deep":[16,31],"neural":[17],"networks":[18],"require":[19],"large":[20],"annotated":[21],"datasets":[22],"generalize":[24],"well.":[25],"This":[26],"limits":[27],"the":[28],"applicability":[29],"of":[30,40,85],"HSI":[34,59],"classification,":[35],"where":[36],"manually":[37],"labelling":[38],"thousands":[39],"pixels":[41,70],"every":[43],"scene":[44],"is":[45],"impractical.":[46],"In":[47],"this":[48,91],"paper,":[49],"we":[50,77],"propose":[51],"leverage":[53],"Self":[54],"Supervised":[55],"Learning":[56],"(SSL)":[57],"We":[61],"show":[62],"that":[63,90],"by":[64],"pre-training":[65],"an":[66],"encoder":[67],"on":[68],"unlabeled":[69],"using":[71],"Barlow-Twins,":[72],"state-of-the-art":[74],"SSL":[75],"algorithm,":[76],"can":[78],"obtain":[79],"accurate":[80],"models":[81],"with":[82],"handful":[84],"labels.":[86],"Experimental":[87],"results":[88],"demonstrate":[89],"significantly":[93],"outperforms":[94],"vanilla":[95],"supervised":[96],"learning.":[97]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2023-01-05T00:00:00"}