{"id":"https://openalex.org/W4393207062","doi":"https://doi.org/10.1109/tgrs.2024.3381632","title":"DAAN: A Deep Autoencoder-Based Augmented Network for Blind Multilinear Hyperspectral Unmixing","display_name":"DAAN: A Deep Autoencoder-Based Augmented Network for Blind Multilinear Hyperspectral Unmixing","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4393207062","doi":"https://doi.org/10.1109/tgrs.2024.3381632"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3381632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3381632","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/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanchao Su","raw_affiliation_strings":["Department of Remote Sensing, College of GeomaticsCollege of Geology and Environment, Xi&#x2019;an University of Science and Technology, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-4776-0862","affiliations":[{"raw_affiliation_string":"Department of Remote Sensing, College of GeomaticsCollege of Geology and Environment, Xi&#x2019;an University of Science and Technology, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101574132","display_name":"Zhiqing Zhu","orcid":"https://orcid.org/0009-0006-6606-8640"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqing Zhu","raw_affiliation_strings":["College of Geomatics, Xi&#x2019;an University of Science and Technology, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0009-0006-6606-8640","affiliations":[{"raw_affiliation_string":"College of Geomatics, Xi&#x2019;an University of Science and Technology, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066378186","display_name":"Lianru Gao","orcid":"https://orcid.org/0000-0003-3888-8124"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianru Gao","raw_affiliation_strings":["Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3888-8124","affiliations":[{"raw_affiliation_string":"Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"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":["Department of Technology of Computers and Communications, Escuela Polit&#x00E9;cnica, Hyperspectral Computing Laboratory, University of Extremadura, C&#x00E1;ceres, Spain"],"raw_orcid":"https://orcid.org/0000-0002-9613-1659","affiliations":[{"raw_affiliation_string":"Department of Technology of Computers and Communications, Escuela Polit&#x00E9;cnica, Hyperspectral Computing Laboratory, University of Extremadura, C&#x00E1;ceres, Spain","institution_ids":["https://openalex.org/I80606768"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100339773","display_name":"Pengfei Li","orcid":"https://orcid.org/0000-0003-1173-5654"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Li","raw_affiliation_strings":["College of Geomatics, Xi&#x2019;an University of Science and Technology, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-1173-5654","affiliations":[{"raw_affiliation_string":"College of Geomatics, Xi&#x2019;an University of Science and Technology, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111863979","display_name":"Xu Sun","orcid":"https://orcid.org/0000-0001-5389-7251"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Sun","raw_affiliation_strings":["Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5389-7251","affiliations":[{"raw_affiliation_string":"Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050455072","display_name":"Xiang Xu","orcid":"https://orcid.org/0000-0002-4388-1915"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Xu","raw_affiliation_strings":["Artificial Intelligence and Computer Vision Laboratory, University of Electronic Science and Technology of China, Zhongshan Institute, Zhongshan, China"],"raw_orcid":"https://orcid.org/0000-0002-4388-1915","affiliations":[{"raw_affiliation_string":"Artificial Intelligence and Computer Vision Laboratory, University of Electronic Science and Technology of China, Zhongshan Institute, Zhongshan, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":21.2351,"has_fulltext":false,"cited_by_count":74,"citation_normalized_percentile":{"value":0.99611949,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"15"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9983999729156494,"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":0.9937999844551086,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8632991313934326},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.829781174659729},{"id":"https://openalex.org/keywords/multilinear-map","display_name":"Multilinear map","score":0.7989462614059448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.65562504529953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6329180598258972},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5317458510398865},{"id":"https://openalex.org/keywords/multilinear-algebra","display_name":"Multilinear algebra","score":0.42129674553871155},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35076403617858887},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.34458625316619873},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3176004886627197},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.25742655992507935},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20295533537864685}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8632991313934326},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.829781174659729},{"id":"https://openalex.org/C84392682","wikidata":"https://www.wikidata.org/wiki/Q1952404","display_name":"Multilinear map","level":2,"score":0.7989462614059448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.65562504529953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6329180598258972},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5317458510398865},{"id":"https://openalex.org/C60321788","wikidata":"https://www.wikidata.org/wiki/Q1197190","display_name":"Multilinear algebra","level":5,"score":0.42129674553871155},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35076403617858887},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.34458625316619873},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3176004886627197},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.25742655992507935},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20295533537864685},{"id":"https://openalex.org/C138354692","wikidata":"https://www.wikidata.org/wiki/Q1231309","display_name":"Division algebra","level":4,"score":0.0},{"id":"https://openalex.org/C136119220","wikidata":"https://www.wikidata.org/wiki/Q1000660","display_name":"Algebra over a field","level":2,"score":0.0},{"id":"https://openalex.org/C169171071","wikidata":"https://www.wikidata.org/wiki/Q5449241","display_name":"Filtered algebra","level":3,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3381632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3381632","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/G192909536","display_name":null,"funder_award_id":"42001319","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4355221328","display_name":null,"funder_award_id":"42325104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6316326147","display_name":null,"funder_award_id":"62271130","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7092763903","display_name":null,"funder_award_id":"62161160336","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W1902016676","https://openalex.org/W1957094454","https://openalex.org/W1963659868","https://openalex.org/W1990231296","https://openalex.org/W2005818237","https://openalex.org/W2009576740","https://openalex.org/W2023791222","https://openalex.org/W2042626896","https://openalex.org/W2087263574","https://openalex.org/W2088259770","https://openalex.org/W2108433027","https://openalex.org/W2123038108","https://openalex.org/W2127062304","https://openalex.org/W2139047226","https://openalex.org/W2157321686","https://openalex.org/W2163886442","https://openalex.org/W2166864699","https://openalex.org/W2340085246","https://openalex.org/W2344116562","https://openalex.org/W2755992512","https://openalex.org/W2761336374","https://openalex.org/W2809092944","https://openalex.org/W2809306703","https://openalex.org/W2887697063","https://openalex.org/W2896057526","https://openalex.org/W2911419410","https://openalex.org/W2911999741","https://openalex.org/W2919802016","https://openalex.org/W2972029982","https://openalex.org/W3022644749","https://openalex.org/W3028000844","https://openalex.org/W3041330594","https://openalex.org/W3080654851","https://openalex.org/W3110749113","https://openalex.org/W3122463936","https://openalex.org/W3137191419","https://openalex.org/W3139578059","https://openalex.org/W3151666947","https://openalex.org/W3154512708","https://openalex.org/W3165729427","https://openalex.org/W3204731106","https://openalex.org/W3205148564","https://openalex.org/W3213181738","https://openalex.org/W4205095826","https://openalex.org/W4210555639","https://openalex.org/W4210987640","https://openalex.org/W4212955958","https://openalex.org/W4214854488","https://openalex.org/W4285173622","https://openalex.org/W4285223668","https://openalex.org/W4292974214","https://openalex.org/W4293731930","https://openalex.org/W4297397016","https://openalex.org/W4309367935","https://openalex.org/W4312260135","https://openalex.org/W4313524854","https://openalex.org/W4315750685","https://openalex.org/W4316013368","https://openalex.org/W4319866035","https://openalex.org/W4322490806","https://openalex.org/W4366310774","https://openalex.org/W4382119218","https://openalex.org/W4385453538","https://openalex.org/W4386025863","https://openalex.org/W4386124082","https://openalex.org/W4386590679","https://openalex.org/W4386649074","https://openalex.org/W4387587535","https://openalex.org/W4389104771","https://openalex.org/W4390480870","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W2669956259","https://openalex.org/W4249005693","https://openalex.org/W2071105597","https://openalex.org/W4392946183","https://openalex.org/W3088732000","https://openalex.org/W2242909499","https://openalex.org/W2405717268","https://openalex.org/W2946637708","https://openalex.org/W4235893778","https://openalex.org/W2100779717"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"deep":[3,123],"learning":[4],"(DL)":[5],"has":[6,31],"accelerated":[7],"the":[8,16,28,52,77,96,102,132,139,147,154,158,170,208,220,227],"development":[9],"of":[10,18,25,99,160,165,172,191,219],"hyperspectral":[11,179],"image":[12],"(HSI)":[13],"processing,":[14],"expanding":[15],"range":[17],"applications":[19],"further.":[20],"As":[21],"a":[22,121],"typical":[23],"model":[24,55,135],"unsupervised":[26,177],"DL,":[27],"autoencoder":[29,155],"framework":[30],"been":[32],"extensively":[33],"applied":[34],"for":[35],"spectral":[36,60,78,93,183],"unmixing":[37,49,88,180,214],"due":[38],"to":[39,57,110,137,168],"its":[40],"strong":[41],"representation":[42],"ability":[43],"and":[44,63,101,184,189,200],"scalability.":[45],"Nowadays,":[46],"most":[47,85],"DL-based":[48,213],"approaches":[50,89],"adopt":[51],"linear":[53],"mixture":[54,79,134],"(LMM)":[56],"estimate":[58],"pure":[59],"signatures":[61],"(endmembers)":[62],"their":[64],"corresponding":[65],"abundance":[66,173],"fractions.":[67],"However,":[68],"since":[69],"sunlight":[70],"scattering":[71],"is":[72,81],"an":[73],"inevitable":[74],"physical":[75],"phenomenon,":[76],"problem":[80],"inherently":[82],"nonlinear.":[83],"Moreover,":[84],"existing":[86],"nonlinear":[87,140,178],"focus":[90],"exclusively":[91],"on":[92],"information,":[94],"neglecting":[95],"spatial":[97,166,185],"distribution":[98],"materials":[100],"intrinsic":[103,161],"correlation":[104],"between":[105],"pixels,":[106],"making":[107],"it":[108],"challenging":[109],"explore":[111],"latent":[112],"features.":[113],"To":[114],"address":[115],"these":[116],"issues,":[117],"this":[118],"article":[119],"develops":[120],"new":[122],"autoencoder-based":[124],"augmented":[125],"network":[126],"(DAAN).":[127],"The":[128,187,204,216],"proposed":[129,148,209,221],"DAAN":[130,149,192,222],"employs":[131],"multilinear":[133],"(MLMM)":[136],"handle":[138],"influence":[141],"caused":[142],"by":[143,163,181,195],"multiple":[144],"scattering.":[145],"Meanwhile,":[146],"constraints":[150],"homogenous":[151],"smoothing":[152],"in":[153,226],"architecture,":[156],"enabling":[157],"aggregation":[159],"correlations":[162],"means":[164],"relationships":[167],"enhance":[169],"performance":[171],"estimation.":[174],"We":[175],"achieve":[176],"combining":[182],"information.":[186],"effectiveness":[188],"advantages":[190],"are":[193],"confirmed":[194],"several":[196],"experiments":[197],"with":[198],"synthetic":[199],"real":[201],"HSI":[202],"datasets.":[203],"results":[205],"indicate":[206],"that":[207],"method":[210],"outperforms":[211],"other":[212],"approaches.":[215],"source":[217],"codes":[218],"will":[223],"be":[224],"provided":[225],"following":[228],"link":[229],"<uri":[230],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[231],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/yuanchaosu/TGRS-daan</uri>.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":52},{"year":2024,"cited_by_count":16}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
