{"id":"https://openalex.org/W2809306703","doi":"https://doi.org/10.1109/lgrs.2018.2841400","title":"Stacked Nonnegative Sparse Autoencoders for Robust Hyperspectral Unmixing","display_name":"Stacked Nonnegative Sparse Autoencoders for Robust Hyperspectral Unmixing","publication_year":2018,"publication_date":"2018-06-18","ids":{"openalex":"https://openalex.org/W2809306703","doi":"https://doi.org/10.1109/lgrs.2018.2841400","mag":"2809306703"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2018.2841400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2841400","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-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/A5087502613","display_name":"Yuanchao Su","orcid":"https://orcid.org/0000-0002-4776-0862"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuanchao Su","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083495404","display_name":"Andrea Marinoni","orcid":"https://orcid.org/0000-0001-6789-0915"},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Marinoni","raw_affiliation_strings":["Dipartimento di Ingegneria Industriale e dell\u2019Informazione, Universit\u00e0 degli Studi di Pavia, Pavia, Italy","Dipartimento di Ingegneria Industriale e dell'Informazione, Universit\u00e0 degli Studi di Pavia, Pavia, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria Industriale e dell\u2019Informazione, Universit\u00e0 degli Studi di Pavia, Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]},{"raw_affiliation_string":"Dipartimento di Ingegneria Industriale e dell'Informazione, Universit\u00e0 degli Studi di Pavia, Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362041","display_name":"Jun Li","orcid":"https://orcid.org/0000-0003-1613-9448"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010624980","display_name":"Javier Plaza","orcid":"https://orcid.org/0000-0002-2384-9141"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Javier Plaza","raw_affiliation_strings":["Hyperspectral Computing Laboratory, Escuela Polit\u00e9cnica, University of Extremadura, C\u00e1ceres, Spain"],"affiliations":[{"raw_affiliation_string":"Hyperspectral Computing Laboratory, Escuela Polit\u00e9cnica, University of Extremadura, C\u00e1ceres, Spain","institution_ids":["https://openalex.org/I80606768"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006623289","display_name":"Paolo Gamba","orcid":"https://orcid.org/0000-0002-9576-6337"},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paolo Gamba","raw_affiliation_strings":["Dipartimento di Ingegneria Industriale e dell\u2019Informazione, Universit\u00e0 degli Studi di Pavia, Pavia, Italy","Dipartimento di Ingegneria Industriale e dell'Informazione, Universit\u00e0 degli Studi di Pavia, Pavia, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria Industriale e dell\u2019Informazione, Universit\u00e0 degli Studi di Pavia, Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]},{"raw_affiliation_string":"Dipartimento di Ingegneria Industriale e dell'Informazione, Universit\u00e0 degli Studi di Pavia, Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5087502613"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":9.3856,"has_fulltext":false,"cited_by_count":118,"citation_normalized_percentile":{"value":0.98109112,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"15","issue":"9","first_page":"1427","last_page":"1431"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9951000213623047,"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"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9789000153541565,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.905877947807312},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8277762532234192},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7446504831314087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7353132367134094},{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.7091304659843445},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7082158923149109},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.672622799873352},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5666872262954712},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.42769360542297363},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.34676593542099},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2885424792766571}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.905877947807312},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8277762532234192},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7446504831314087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7353132367134094},{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.7091304659843445},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7082158923149109},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.672622799873352},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5666872262954712},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.42769360542297363},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.34676593542099},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2885424792766571}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2018.2841400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2841400","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5006369886","display_name":null,"funder_award_id":"2017YFB0502900","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6321125736","display_name":null,"funder_award_id":"2016A030313254","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G8240734429","display_name":null,"funder_award_id":"61771496","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"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2009576740","https://openalex.org/W2022470997","https://openalex.org/W2072599882","https://openalex.org/W2101837437","https://openalex.org/W2113898416","https://openalex.org/W2114486983","https://openalex.org/W2127062304","https://openalex.org/W2141494774","https://openalex.org/W2157321686","https://openalex.org/W2163886442","https://openalex.org/W2533034223","https://openalex.org/W2765455392","https://openalex.org/W4301909677"],"related_works":["https://openalex.org/W2037328426","https://openalex.org/W1990914742","https://openalex.org/W3106536224","https://openalex.org/W2891033441","https://openalex.org/W2006559622","https://openalex.org/W2890371384","https://openalex.org/W2773863718","https://openalex.org/W2315521504","https://openalex.org/W2563324120","https://openalex.org/W2040756827"],"abstract_inverted_index":{"As":[0],"an":[1],"unsupervised":[2],"learning":[3],"tool,":[4],"autoencoder":[5,73],"has":[6],"been":[7],"widely":[8],"applied":[9],"in":[10,64],"many":[11],"fields.":[12],"In":[13,50,67,121],"this":[14],"letter,":[15],"we":[16],"propose":[17],"a":[18,54,71],"new":[19],"robust":[20],"unmixing":[21,77,125],"algorithm":[22],"that":[23],"is":[24,58,74,112],"based":[25],"on":[26,114],"stacked":[27,43],"nonnegative":[28,90],"sparse":[29,91],"autoencoders":[30,44],"(NNSAEs)":[31],"for":[32,76],"hyperspectral":[33,119],"data":[34],"with":[35,100,123],"outliers":[36,63,101],"and":[37,83,102,117],"low":[38,103],"signal-to-noise":[39],"ratio.":[40,105],"The":[41,106],"proposed":[42,94,110,128],"network":[45],"contains":[46],"two":[47],"main":[48],"steps.":[49],"the":[51,62,65,68,80,93,109,127],"first":[52],"step,":[53,70],"series":[55],"of":[56,108],"NNSAE":[57],"used":[59],"to":[60,78],"detect":[61],"data.":[66,120],"second":[69],"final":[72],"performed":[75],"achieve":[79],"endmember":[81],"signatures":[82],"abundance":[84],"fractions.":[85],"By":[86],"taking":[87],"advantage":[88],"from":[89],"autoencoding,":[92],"approach":[95,129],"can":[96],"well":[97],"tackle":[98],"problems":[99],"noise-signal":[104],"effectiveness":[107],"method":[111],"evaluated":[113],"both":[115],"synthetic":[116],"real":[118],"comparison":[122],"other":[124],"methods,":[126],"demonstrates":[130],"competitive":[131],"performance.":[132]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":12}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
