{"id":"https://openalex.org/W3198899816","doi":"https://doi.org/10.3390/rs13173539","title":"Boosting Few-Shot Hyperspectral Image Classification Using Pseudo-Label Learning","display_name":"Boosting Few-Shot Hyperspectral Image Classification Using Pseudo-Label Learning","publication_year":2021,"publication_date":"2021-09-06","ids":{"openalex":"https://openalex.org/W3198899816","doi":"https://doi.org/10.3390/rs13173539","mag":"3198899816"},"language":"en","primary_location":{"id":"doi:10.3390/rs13173539","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13173539","pdf_url":"https://www.mdpi.com/2072-4292/13/17/3539/pdf?version=1631064624","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/13/17/3539/pdf?version=1631064624","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011372918","display_name":"Chen Ding","orcid":"https://orcid.org/0000-0001-8101-5738"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Ding","raw_affiliation_strings":["School of Computer Science and Technology, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an 710121, China","Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi\u2019an 710121, China","Xi\u2019an Key Laboratory of Big Data and Intelligent Computing, Xi\u2019an 710121, China","Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi'an 710121, China","Xi'an Key Laboratory of Big Data and Intelligent Computing, Xi'an 710121, China","School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an 710121, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an 710121, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi\u2019an 710121, China","institution_ids":[]},{"raw_affiliation_string":"Xi\u2019an Key Laboratory of Big Data and Intelligent Computing, Xi\u2019an 710121, China","institution_ids":[]},{"raw_affiliation_string":"Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi'an 710121, China","institution_ids":[]},{"raw_affiliation_string":"Xi'an Key Laboratory of Big Data and Intelligent Computing, Xi'an 710121, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an 710121, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100711787","display_name":"Yu Li","orcid":"https://orcid.org/0000-0002-5693-5353"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Li","raw_affiliation_strings":["National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Xi\u2019an 710129, China","Shaanxi Key Lab of Speech & Image Information Processing (SAIIP), School of Computer Science and Engineering, Northwestern Polytechnical University, Xi\u2019an 710129, China","National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Xi'an 710129, China","Shaanxi Key Lab of Speech & Image Information Processing (SAIIP), School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an 710129, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Xi\u2019an 710129, China","institution_ids":[]},{"raw_affiliation_string":"Shaanxi Key Lab of Speech & Image Information Processing (SAIIP), School of Computer Science and Engineering, Northwestern Polytechnical University, Xi\u2019an 710129, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Xi'an 710129, China","institution_ids":[]},{"raw_affiliation_string":"Shaanxi Key Lab of Speech & Image Information Processing (SAIIP), School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an 710129, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101681708","display_name":"Yue Wen","orcid":"https://orcid.org/0000-0001-5297-6230"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Wen","raw_affiliation_strings":["National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Xi\u2019an 710129, China","Shaanxi Key Lab of Speech & Image Information Processing (SAIIP), School of Computer Science and Engineering, Northwestern Polytechnical University, Xi\u2019an 710129, China","National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Xi'an 710129, China","Shaanxi Key Lab of Speech & Image Information Processing (SAIIP), School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an 710129, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Xi\u2019an 710129, China","institution_ids":[]},{"raw_affiliation_string":"Shaanxi Key Lab of Speech & Image Information Processing (SAIIP), School of Computer Science and Engineering, Northwestern Polytechnical University, Xi\u2019an 710129, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Xi'an 710129, China","institution_ids":[]},{"raw_affiliation_string":"Shaanxi Key Lab of Speech & Image Information Processing (SAIIP), School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an 710129, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059311288","display_name":"Mengmeng Zheng","orcid":"https://orcid.org/0000-0001-9574-4069"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengmeng Zheng","raw_affiliation_strings":["School of Computer Science and Technology, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an 710121, China","Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi\u2019an 710121, China","Xi\u2019an Key Laboratory of Big Data and Intelligent Computing, Xi\u2019an 710121, China","School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an 710121, China","Xi'an Key Laboratory of Big Data and Intelligent Computing, Xi'an 710121, China","Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi'an 710121, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an 710121, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi\u2019an 710121, China","institution_ids":[]},{"raw_affiliation_string":"Xi\u2019an Key Laboratory of Big Data and Intelligent Computing, Xi\u2019an 710121, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an 710121, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"Xi'an Key Laboratory of Big Data and Intelligent Computing, Xi'an 710121, China","institution_ids":[]},{"raw_affiliation_string":"Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi'an 710121, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433957","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-7528-420X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Xi\u2019an 710129, China","Shaanxi Key Lab of Speech & Image Information Processing (SAIIP), School of Computer Science and Engineering, Northwestern Polytechnical University, Xi\u2019an 710129, China","National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Xi'an 710129, China","Shaanxi Key Lab of Speech & Image Information Processing (SAIIP), School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an 710129, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Xi\u2019an 710129, China","institution_ids":[]},{"raw_affiliation_string":"Shaanxi Key Lab of Speech & Image Information Processing (SAIIP), School of Computer Science and Engineering, Northwestern Polytechnical University, Xi\u2019an 710129, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Xi'an 710129, China","institution_ids":[]},{"raw_affiliation_string":"Shaanxi Key Lab of Speech & Image Information Processing (SAIIP), School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an 710129, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323672","display_name":"Wei Wei","orcid":"https://orcid.org/0000-0002-0655-056X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Wei","raw_affiliation_strings":["National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Xi\u2019an 710129, China","Shaanxi Key Lab of Speech & Image Information Processing (SAIIP), School of Computer Science and Engineering, Northwestern Polytechnical University, Xi\u2019an 710129, China","Shaanxi Key Lab of Speech & Image Information Processing (SAIIP), School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an 710129, China","National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Xi'an 710129, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Xi\u2019an 710129, China","institution_ids":[]},{"raw_affiliation_string":"Shaanxi Key Lab of Speech & Image Information Processing (SAIIP), School of Computer Science and Engineering, Northwestern Polytechnical University, Xi\u2019an 710129, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Shaanxi Key Lab of Speech & Image Information Processing (SAIIP), School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an 710129, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Xi'an 710129, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028235866","display_name":"Yanning Zhang","orcid":"https://orcid.org/0000-0002-2977-8057"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanning Zhang","raw_affiliation_strings":["National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Xi\u2019an 710129, China","Shaanxi Key Lab of Speech & Image Information Processing (SAIIP), School of Computer Science and Engineering, Northwestern Polytechnical University, Xi\u2019an 710129, China","National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Xi'an 710129, China","Shaanxi Key Lab of Speech & Image Information Processing (SAIIP), School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an 710129, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Xi\u2019an 710129, China","institution_ids":[]},{"raw_affiliation_string":"Shaanxi Key Lab of Speech & Image Information Processing (SAIIP), School of Computer Science and Engineering, Northwestern Polytechnical University, Xi\u2019an 710129, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Xi'an 710129, China","institution_ids":[]},{"raw_affiliation_string":"Shaanxi Key Lab of Speech & Image Information Processing (SAIIP), School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an 710129, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100323672"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.7642,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.86501935,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"13","issue":"17","first_page":"3539","last_page":"3539"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9825999736785889,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7982336282730103},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.770343005657196},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6531223654747009},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6317265033721924},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6233428120613098},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.5848640203475952},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5506561994552612},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5157601833343506},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.49881839752197266},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49447107315063477},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4825543761253357},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.42006564140319824},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.41143321990966797},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37540680170059204},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30176842212677}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7982336282730103},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.770343005657196},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6531223654747009},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6317265033721924},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6233428120613098},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.5848640203475952},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5506561994552612},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5157601833343506},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.49881839752197266},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49447107315063477},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4825543761253357},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.42006564140319824},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.41143321990966797},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37540680170059204},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30176842212677},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13173539","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13173539","pdf_url":"https://www.mdpi.com/2072-4292/13/17/3539/pdf?version=1631064624","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9e9535693b9f48b4b298e38c052fa5ab","is_oa":true,"landing_page_url":"https://doaj.org/article/9e9535693b9f48b4b298e38c052fa5ab","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 13, Iss 17, p 3539 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/17/3539/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13173539","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13173539","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13173539","pdf_url":"https://www.mdpi.com/2072-4292/13/17/3539/pdf?version=1631064624","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G3232425260","display_name":null,"funder_award_id":"61901369","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7591048978","display_name":null,"funder_award_id":"62071387","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3198899816.pdf","grobid_xml":"https://content.openalex.org/works/W3198899816.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W2008509935","https://openalex.org/W2081809992","https://openalex.org/W2194775991","https://openalex.org/W2500751094","https://openalex.org/W2537231727","https://openalex.org/W2548275288","https://openalex.org/W2548791488","https://openalex.org/W2592939477","https://openalex.org/W2620547787","https://openalex.org/W2732412926","https://openalex.org/W2764276316","https://openalex.org/W2767805377","https://openalex.org/W2768537477","https://openalex.org/W2780830043","https://openalex.org/W2782517596","https://openalex.org/W2790128178","https://openalex.org/W2791006446","https://openalex.org/W2791257483","https://openalex.org/W2804126026","https://openalex.org/W2804132729","https://openalex.org/W2889025125","https://openalex.org/W2889107641","https://openalex.org/W2898204262","https://openalex.org/W2899341612","https://openalex.org/W2901461790","https://openalex.org/W2907100627","https://openalex.org/W2915851545","https://openalex.org/W2941141441","https://openalex.org/W2944010056","https://openalex.org/W2963727650","https://openalex.org/W2964080601","https://openalex.org/W2964241181","https://openalex.org/W2964309882","https://openalex.org/W2983376237","https://openalex.org/W2983590298","https://openalex.org/W2992641156","https://openalex.org/W3181678406","https://openalex.org/W6623329352"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2125652721","https://openalex.org/W2116862786","https://openalex.org/W2761785940","https://openalex.org/W2129933262"],"abstract_inverted_index":{"Deep":[0],"neural":[1,31,62],"networks":[2],"have":[3],"underpinned":[4],"much":[5],"of":[6,13,37,41,76,113,123,160],"the":[7,11,35,60,105,121,124,140,147,150,158,161],"recent":[8],"progress":[9],"in":[10,55,69,186],"field":[12],"hyperspectral":[14],"image":[15],"(HSI)":[16],"classification":[17,65,171],"owing":[18],"to":[19,23,44,67,102,119,183],"their":[20],"powerful":[21],"ability":[22],"learn":[24],"discriminative":[25],"features.":[26],"However,":[27],"training":[28,122],"a":[29,38,72,91,137],"deep":[30,61,94],"network":[32],"often":[33],"requires":[34],"availability":[36],"large":[39],"number":[40,75],"labeled":[42,49,77,85,129,134],"samples":[43,50,78,115],"mitigate":[45,103],"over-fitting,":[46,104],"and":[47,153,188],"these":[48],"are":[51,87],"not":[52],"always":[53],"available":[54],"practical":[56],"applications.":[57],"To":[58,156],"adapt":[59],"network-based":[63],"HSI":[64,98,170],"approach":[66],"cases":[68],"which":[70],"only":[71,83],"very":[73],"limited":[74],"(i.e.,":[79],"few":[80,128],"or":[81],"even":[82],"one":[84],"sample)":[86],"provided,":[88],"we":[89,164],"propose":[90],"novel":[92],"few-shot":[93,187],"learning":[95],"framework":[96,106],"for":[97],"classification.":[99],"In":[100],"order":[101],"borrows":[107],"supervision":[108],"from":[109],"an":[110],"auxiliary":[111],"set":[112],"unlabeled":[114,151],"with":[116],"soft":[117,141],"pseudo-labels":[118],"assist":[120],"feature":[125],"extractor":[126],"on":[127,167],"samples.":[130],"By":[131],"considering":[132],"each":[133],"sample":[135,152],"as":[136],"reference":[138],"agent,":[139],"pseudo-label":[142],"is":[143],"assigned":[144],"by":[145],"computing":[146],"distances":[148],"between":[149],"all":[154],"agents.":[155],"demonstrate":[157],"effectiveness":[159],"proposed":[162],"method,":[163],"evaluate":[165],"it":[166],"three":[168],"benchmark":[169],"datasets.":[172],"The":[173],"results":[174],"indicate":[175],"that":[176],"our":[177],"method":[178],"achieves":[179],"better":[180],"performance":[181],"relative":[182],"existing":[184],"competitors":[185],"one-shot":[189],"settings.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}