{"id":"https://openalex.org/W2911419410","doi":"https://doi.org/10.1109/tgrs.2018.2890633","title":"DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing","display_name":"DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing","publication_year":2019,"publication_date":"2019-01-28","ids":{"openalex":"https://openalex.org/W2911419410","doi":"https://doi.org/10.1109/tgrs.2018.2890633","mag":"2911419410"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2018.2890633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2890633","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/A5100362041","display_name":"Jun Li","orcid":"https://orcid.org/0000-0003-1613-9448"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054292278","display_name":"Antonio Plaza","orcid":"https://orcid.org/0000-0002-9613-1659"},"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":"Antonio 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":"middle","author":{"id":"https://openalex.org/A5083495404","display_name":"Andrea Marinoni","orcid":"https://orcid.org/0000-0001-6789-0915"},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Andrea Marinoni","raw_affiliation_strings":["Earth Observation Group, Centre for Integrated Remote Sensing and Forecasting for Arctic Operations, UiT\u2013The Arctic University of Norway, Troms\u00f8, Norway"],"affiliations":[{"raw_affiliation_string":"Earth Observation Group, Centre for Integrated Remote Sensing and Forecasting for Arctic Operations, UiT\u2013The Arctic University of Norway, Troms\u00f8, Norway","institution_ids":["https://openalex.org/I78037679"]}]},{"author_position":"middle","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":["Telecommunications and Remote Sensing Laboratory, University of Pavia, Pavia, Italy"],"affiliations":[{"raw_affiliation_string":"Telecommunications and Remote Sensing Laboratory, University of Pavia, Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016754640","display_name":"Somdatta Chakravortty","orcid":"https://orcid.org/0000-0002-9121-4949"},"institutions":[{"id":"https://openalex.org/I63346067","display_name":"Maulana Abul Kalam Azad Institute of Asian Studies","ror":"https://ror.org/007j02p07","country_code":"IN","type":"facility","lineage":["https://openalex.org/I63346067"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Somdatta Chakravortty","raw_affiliation_strings":["Department of Information Technology, Maulana Abul Kalam Azad University of Technology, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Maulana Abul Kalam Azad University of Technology, Kolkata, India","institution_ids":["https://openalex.org/I63346067"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5087502613"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":25.744,"has_fulltext":false,"cited_by_count":305,"citation_normalized_percentile":{"value":0.99698881,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"57","issue":"7","first_page":"4309","last_page":"4321"},"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":0.9961000084877014,"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":0.9886999726295471,"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/endmember","display_name":"Endmember","score":0.910326361656189},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9056820869445801},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8453065156936646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.696906566619873},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6833347082138062},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6695969700813293},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6603637933731079},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6479837894439697},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5517388582229614},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5026552677154541},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.41903188824653625},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4139372408390045},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.32657232880592346},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3212360143661499},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2610173225402832}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.910326361656189},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9056820869445801},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8453065156936646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.696906566619873},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6833347082138062},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6695969700813293},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6603637933731079},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6479837894439697},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5517388582229614},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5026552677154541},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.41903188824653625},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4139372408390045},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.32657232880592346},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3212360143661499},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2610173225402832},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2018.2890633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2890633","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W1669655639","https://openalex.org/W1755724306","https://openalex.org/W1902016676","https://openalex.org/W1959608418","https://openalex.org/W1961730324","https://openalex.org/W1963659868","https://openalex.org/W1976615758","https://openalex.org/W2000057915","https://openalex.org/W2005818237","https://openalex.org/W2009576740","https://openalex.org/W2022470997","https://openalex.org/W2023791222","https://openalex.org/W2061280223","https://openalex.org/W2061771564","https://openalex.org/W2063069198","https://openalex.org/W2067979945","https://openalex.org/W2072599882","https://openalex.org/W2076332129","https://openalex.org/W2081555128","https://openalex.org/W2086888000","https://openalex.org/W2087263574","https://openalex.org/W2095343758","https://openalex.org/W2096296424","https://openalex.org/W2101837437","https://openalex.org/W2113898416","https://openalex.org/W2114486983","https://openalex.org/W2127062304","https://openalex.org/W2141494774","https://openalex.org/W2146148434","https://openalex.org/W2157321686","https://openalex.org/W2163886442","https://openalex.org/W2169924573","https://openalex.org/W2295820431","https://openalex.org/W2467604901","https://openalex.org/W2609615231","https://openalex.org/W2743180144","https://openalex.org/W2743255627","https://openalex.org/W2765455392","https://openalex.org/W2771346875","https://openalex.org/W2774528199","https://openalex.org/W2775661832","https://openalex.org/W2777757728","https://openalex.org/W2792897399","https://openalex.org/W2793515883","https://openalex.org/W2809306703","https://openalex.org/W2883080255","https://openalex.org/W2889025125","https://openalex.org/W2889107641","https://openalex.org/W2894115892","https://openalex.org/W2901846313","https://openalex.org/W2963069169","https://openalex.org/W2963371848","https://openalex.org/W3041868831","https://openalex.org/W3101195009","https://openalex.org/W3122463936","https://openalex.org/W4233760599","https://openalex.org/W4301014524","https://openalex.org/W6640963894"],"related_works":["https://openalex.org/W2037328426","https://openalex.org/W1990914742","https://openalex.org/W2891033441","https://openalex.org/W2006559622","https://openalex.org/W3106536224","https://openalex.org/W2890371384","https://openalex.org/W2051769241","https://openalex.org/W2563324120","https://openalex.org/W2040756827","https://openalex.org/W3045038000"],"abstract_inverted_index":{"Spectral":[0],"unmixing":[1,38,79,172],"is":[2,40,92,121,159],"a":[3,17,33,43,74,88],"technique":[4,35],"for":[5,36,77],"remotely":[6],"sensed":[7],"image":[8],"interpretation":[9],"that":[10],"expresses":[11],"each":[12],"(possibly":[13],"mixed)":[14],"pixel":[15],"as":[16,71,123],"combination":[18],"of":[19,53,59,85,117,139,155],"pure":[20],"spectral":[21,68],"signatures":[22,104],"(endmembers)":[23],"and":[24,105,131,147,164],"their":[25],"fractional":[26],"abundances.":[27,152],"In":[28,81],"this":[29],"paper,":[30],"we":[31],"develop":[32],"new":[34],"unsupervised":[37],"which":[39],"based":[41],"on":[42],"deep":[44],"autoencoder":[45,90],"network":[46,61],"(DAEN).":[47],"Our":[48],"newly":[49],"developed":[50],"DAEN":[51],"consists":[52],"two":[54],"parts.":[55],"The":[56,153],"first":[57],"part":[58,84],"the":[60,78,82,86,102,113,115,118,136,140,143,151,156,174],"adopts":[62],"stacked":[63],"autoencoders":[64],"(SAEs)":[65],"to":[66,72,94],"learn":[67],"signatures,":[69],"so":[70],"generate":[73],"good":[75],"initialization":[76],"process.":[80],"second":[83],"network,":[87],"variational":[89],"(VAE)":[91],"employed":[93],"perform":[95],"blind":[96],"source":[97],"separation,":[98],"aimed":[99],"at":[100],"obtaining":[101],"endmember":[103],"abundance":[106],"fractions":[107],"simultaneously.":[108],"By":[109],"taking":[110],"advantage":[111],"from":[112],"SAEs,":[114],"robustness":[116],"proposed":[119,157,175],"approach":[120,176],"remarkable":[122],"it":[124],"can":[125],"unmix":[126],"data":[127],"sets":[128],"with":[129,170],"outliers":[130],"low":[132],"signal-to-noise":[133],"ratio.":[134],"Moreover,":[135],"multihidden":[137],"layers":[138],"VAE":[141],"ensure":[142],"required":[144],"constraints":[145],"(nonnegativity":[146],"sum-to-one)":[148],"when":[149],"estimating":[150],"effectiveness":[154],"method":[158],"evaluated":[160],"using":[161],"both":[162],"synthetic":[163],"real":[165],"hyperspectral":[166],"data.":[167],"When":[168],"compared":[169],"other":[171],"methods,":[173],"demonstrates":[177],"very":[178],"competitive":[179],"performance.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":41},{"year":2024,"cited_by_count":55},{"year":2023,"cited_by_count":54},{"year":2022,"cited_by_count":44},{"year":2021,"cited_by_count":48},{"year":2020,"cited_by_count":38},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
