{"id":"https://openalex.org/W4292974214","doi":"https://doi.org/10.1109/jstars.2022.3200733","title":"A New Deep Convolutional Network for Effective Hyperspectral Unmixing","display_name":"A New Deep Convolutional Network for Effective Hyperspectral Unmixing","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4292974214","doi":"https://doi.org/10.1109/jstars.2022.3200733"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2022.3200733","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3200733","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/09864242.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/09864242.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033046838","display_name":"Xuanwen Tao","orcid":"https://orcid.org/0000-0003-1093-0079"},"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":true,"raw_author_name":"Xuanwen Tao","raw_affiliation_strings":["Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, University of Extremadura, Cáceres, Spain","ceres, Spain"],"affiliations":[{"raw_affiliation_string":"Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, University of Extremadura, Cáceres, Spain","institution_ids":["https://openalex.org/I80606768"]},{"raw_affiliation_string":"ceres, Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046123228","display_name":"Mercedes E. Paoletti","orcid":"https://orcid.org/0000-0003-1030-3729"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Mercedes E. Paoletti","raw_affiliation_strings":["Department of Computer Architecture and Automatics, Complutense University of Madrid, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Architecture and Automatics, Complutense University of Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075007359","display_name":"Lirong Han","orcid":"https://orcid.org/0000-0002-8613-7037"},"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":"Lirong Han","raw_affiliation_strings":["Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, University of Extremadura, Cáceres, Spain","ceres, Spain"],"affiliations":[{"raw_affiliation_string":"Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, University of Extremadura, Cáceres, Spain","institution_ids":["https://openalex.org/I80606768"]},{"raw_affiliation_string":"ceres, Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032939140","display_name":"Zhaoyue Wu","orcid":"https://orcid.org/0000-0002-6797-2440"},"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":"Zhaoyue Wu","raw_affiliation_strings":["Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, University of Extremadura, Cáceres, Spain","ceres, Spain"],"affiliations":[{"raw_affiliation_string":"Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, University of Extremadura, Cáceres, Spain","institution_ids":["https://openalex.org/I80606768"]},{"raw_affiliation_string":"ceres, Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100767704","display_name":"Peng Ren","orcid":"https://orcid.org/0000-0003-3949-985X"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Ren","raw_affiliation_strings":["College of Information and Control Engineering, China University of Petroleum (East China), Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Control Engineering, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"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, Department of Technology of Computers and Communications, University of Extremadura, Cáceres, Spain","ceres, Spain"],"affiliations":[{"raw_affiliation_string":"Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, University of Extremadura, Cáceres, Spain","institution_ids":["https://openalex.org/I80606768"]},{"raw_affiliation_string":"ceres, Spain","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, Department of Technology of Computers and Communications, University of Extremadura, Cáceres, Spain","ceres, Spain"],"affiliations":[{"raw_affiliation_string":"Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, University of Extremadura, Cáceres, Spain","institution_ids":["https://openalex.org/I80606768"]},{"raw_affiliation_string":"ceres, Spain","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039673511","display_name":"Juan M. Haut","orcid":"https://orcid.org/0000-0001-6701-961X"},"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":"Juan M. Haut","raw_affiliation_strings":["Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, University of Extremadura, Cáceres, Spain","ceres, Spain"],"affiliations":[{"raw_affiliation_string":"Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, University of Extremadura, Cáceres, Spain","institution_ids":["https://openalex.org/I80606768"]},{"raw_affiliation_string":"ceres, Spain","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5033046838"],"corresponding_institution_ids":["https://openalex.org/I80606768"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":3.7291,"has_fulltext":true,"cited_by_count":37,"citation_normalized_percentile":{"value":0.93922314,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"15","issue":null,"first_page":"6999","last_page":"7012"},"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":0.9954000115394592,"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":0.9860000014305115,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9251857399940491},{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.9246529340744019},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8353610634803772},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7470128536224365},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7290010452270508},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7081780433654785},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6982614994049072},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6617363095283508},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6202806830406189},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5713936686515808},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5065881013870239},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44363290071487427},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2908968925476074}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9251857399940491},{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.9246529340744019},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8353610634803772},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7470128536224365},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7290010452270508},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7081780433654785},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6982614994049072},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6617363095283508},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6202806830406189},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5713936686515808},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5065881013870239},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44363290071487427},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2908968925476074},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2022.3200733","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3200733","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/09864242.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:250e5fb8993a4651a8d009eb6f8615c5","is_oa":true,"landing_page_url":"https://doaj.org/article/250e5fb8993a4651a8d009eb6f8615c5","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 6999-7012 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2022.3200733","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3200733","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/09864242.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G232734274","display_name":null,"funder_award_id":"GR21040","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G2588716321","display_name":null,"funder_award_id":"GR21040","funder_id":"https://openalex.org/F4320328352","funder_display_name":"Junta de Extremadura"},{"id":"https://openalex.org/G3875748329","display_name":null,"funder_award_id":"European Regional Development Fund","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G639309596","display_name":null,"funder_award_id":"GR21040","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G8051717526","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8353706071","display_name":null,"funder_award_id":"Leonardo","funder_id":"https://openalex.org/F4320309764","funder_display_name":"Fundaci\u00f3n BBVA"},{"id":"https://openalex.org/G8538941428","display_name":null,"funder_award_id":"Regional Development Fund","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320309764","display_name":"Fundaci\u00f3n BBVA","ror":"https://ror.org/01jzs3b90"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320323113","display_name":"Banco Bilbao Vizcaya Argentaria","ror":"https://ror.org/0537dnd74"},{"id":"https://openalex.org/F4320328352","display_name":"Junta de Extremadura","ror":"https://ror.org/01df4mv68"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4292974214.pdf","grobid_xml":"https://content.openalex.org/works/W4292974214.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W1755724306","https://openalex.org/W1902016676","https://openalex.org/W1964409388","https://openalex.org/W2004207873","https://openalex.org/W2019149505","https://openalex.org/W2042626896","https://openalex.org/W2050041778","https://openalex.org/W2084252873","https://openalex.org/W2095343758","https://openalex.org/W2101837437","https://openalex.org/W2103227290","https://openalex.org/W2127062304","https://openalex.org/W2135364872","https://openalex.org/W2157321686","https://openalex.org/W2163547919","https://openalex.org/W2343117455","https://openalex.org/W2462239623","https://openalex.org/W2462946880","https://openalex.org/W2741786247","https://openalex.org/W2765455392","https://openalex.org/W2772452219","https://openalex.org/W2806966882","https://openalex.org/W2809113079","https://openalex.org/W2893348249","https://openalex.org/W2894115892","https://openalex.org/W2903882147","https://openalex.org/W2907147407","https://openalex.org/W2954661277","https://openalex.org/W2969394213","https://openalex.org/W2980079746","https://openalex.org/W2983217715","https://openalex.org/W2990162903","https://openalex.org/W2991209609","https://openalex.org/W3028000844","https://openalex.org/W3030011285","https://openalex.org/W3048051136","https://openalex.org/W3080654851","https://openalex.org/W3087931076","https://openalex.org/W3101195009","https://openalex.org/W3127225435","https://openalex.org/W3127576502","https://openalex.org/W3129986901","https://openalex.org/W3137191419","https://openalex.org/W3152656798","https://openalex.org/W3157125475","https://openalex.org/W3158390871","https://openalex.org/W3165209762","https://openalex.org/W3166330239","https://openalex.org/W3187601637","https://openalex.org/W3189754131","https://openalex.org/W3190732674"],"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":{"Hyperspectral":[0],"unmixing":[1,19,53,124,196,219,225,264],"extracts":[2],"pure":[3],"spectral":[4,147,163],"constituents":[5],"(endmembers)":[6],"and":[7,40,76,97,106,116,138,148,165,189,222,244],"their":[8],"corresponding":[9,216],"abundance":[10,32,117,285],"fractions":[11],"from":[12,161],"remotely":[13],"sensed":[14],"scenes.":[15],"Most":[16],"traditional":[17],"hyperspectral":[18,52,136,200,247],"methods":[20,265],"require":[21,270],"the":[22,31,37,59,63,104,132,162,180,206,215,230,253,275,284,289,296],"results":[23,250,260,276],"of":[24,44,108,184,208,232,240,277,298],"other":[25,262,278],"endmember":[26,114,279],"extraction":[27,182,280],"algorithms":[28],"to":[29,36,62,66,130,145,177,192,203,282,294],"complete":[30],"estimation":[33],"step.":[34],"Due":[35],"impressive":[38],"learning":[39,50],"data":[41,242],"fitting":[42],"capabilities":[43],"convolutional":[45,94,98],"neural":[46,95],"networks":[47,236,255],"(CNNs),":[48],"deep":[49],"(DL)-based":[51],"technologies":[54],"have":[55,170],"rapidly":[56],"developed":[57,235],"in":[58,135],"literature.":[60],"According":[61],"procedure":[64],"used":[65],"combine":[67,187],"different":[68],"layers":[69],"(i.e.,":[70],"fully":[71],"connected":[72],"layers,":[73,75],"convolution":[74,218,224],"activation":[77,111],"layers),":[78],"these":[79],"techniques":[80,154,168],"are":[81],"mainly":[82],"divided":[83],"into":[84],"three":[85,245],"main":[86],"categories,":[87],"i.e.,":[88],"those":[89],"based":[90],"on":[91,237],"autoencoder":[92,99],"networks,":[93,96],"networks.":[100],"They":[101],"usually":[102,126,169],"extract":[103,146],"weight":[105],"output":[107],"a":[109,194],"specific":[110],"layer":[112],"as":[113],"signatures":[115],"maps,":[118],"respectively.":[119],"Moreover,":[120],"most":[121],"existing":[122],"DL-based":[123,263],"approaches":[125,141],"use":[127],"2D":[128,152,190,217],"CNNs":[129,144],"learn":[131],"features":[133],"contained":[134],"images,":[137],"very":[139],"few":[140],"employ":[142],"3D":[143,166,188,223],"spatial":[149],"information.":[150],"However,":[151],"CNN-based":[153,167],"cannot":[155],"capture":[156],"good":[157],"discriminative":[158],"feature":[159,181],"maps":[160],"viewpoint,":[164],"high":[171],"computational":[172],"overload.":[173],"In":[174],"this":[175],"work,":[176],"further":[178],"exploit":[179],"capability":[183],"CNNs,":[185],"we":[186,212],"convolutions":[191],"propose":[193],"cross-convolution":[195],"network":[197,220,226],"(CrossCUN)":[198],"for":[199],"unmixing.":[201],"Simultaneously,":[202],"better":[204,259],"illustrate":[205],"improvements":[207],"our":[209,233,299],"proposed":[210,254],"CrossCUN,":[211],"also":[213,267],"build":[214],"(2DCUN)":[221],"(3DCUN).":[227],"We":[228,287],"evaluate":[229],"performance":[231],"newly":[234],"two":[238],"types":[239],"synthetic":[241],"sets":[243],"real":[246],"images.":[248],"Experimental":[249],"show":[251],"that":[252],"not":[256,269],"only":[257],"obtain":[258],"than":[261],"but":[266],"do":[268],"any":[271],"prior":[272],"knowledge":[273],"(e.g.,":[274],"algorithms)":[281],"estimate":[283],"maps.":[286],"release":[288],"related":[290],"codes":[291],"at":[292],"https://github.com/xuanwentao":[293],"encourage":[295],"reproduction":[297],"results.":[300]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}