{"id":"https://openalex.org/W3165729427","doi":"https://doi.org/10.1109/tnnls.2021.3082289","title":"Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing","display_name":"Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing","publication_year":2021,"publication_date":"2021-05-28","ids":{"openalex":"https://openalex.org/W3165729427","doi":"https://doi.org/10.1109/tnnls.2021.3082289","mag":"3165729427","pmid":"https://pubmed.ncbi.nlm.nih.gov/34048352"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2021.3082289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3082289","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2105.10194","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075013625","display_name":"Danfeng Hong","orcid":"https://orcid.org/0000-0002-3212-9584"},"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/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["CN","DE"],"is_corresponding":false,"raw_author_name":"Danfeng Hong","raw_affiliation_strings":["Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), We&#x00DF;ling, Germany","Chinese Academy of Sciences [Beijing]"],"raw_orcid":"https://orcid.org/0000-0002-3212-9584","affiliations":[{"raw_affiliation_string":"Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), We&#x00DF;ling, Germany","institution_ids":["https://openalex.org/I2898391981"]},{"raw_affiliation_string":"Chinese Academy of Sciences [Beijing]","institution_ids":["https://openalex.org/I19820366"]}]},{"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 Digital Earth Science, 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 Digital Earth Science, 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/A5013885739","display_name":"Jing Yao","orcid":"https://orcid.org/0000-0003-1301-9758"},"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":"Jing Yao","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1301-9758","affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, 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/A5034435383","display_name":"Naoto Yokoya","orcid":"https://orcid.org/0000-0002-7321-4590"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoto Yokoya","raw_affiliation_strings":["Department of Complexity of Science and Engineering, The University of Tokyo, Chiba, Japan","RIKEN Center for Advanced Intelligence Project [Tokyo]"],"raw_orcid":"https://orcid.org/0000-0002-7321-4590","affiliations":[{"raw_affiliation_string":"Department of Complexity of Science and Engineering, The University of Tokyo, Chiba, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"RIKEN Center for Advanced Intelligence Project [Tokyo]","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106124934","display_name":"Jocelyn Chanussot","orcid":"https://orcid.org/0000-0003-4817-2875"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"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/I4210124956","display_name":"GIPSA-Lab","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I4210149092","display_name":"Laboratoire Jean Kuntzmann","ror":"https://ror.org/04ett5b41","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210149092","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["CN","FR"],"is_corresponding":false,"raw_author_name":"Jocelyn Chanussot","raw_affiliation_strings":["LJK, CNRS, INRIA, Grenoble Institute of Technology (Grenoble INP), University of Grenoble Alpes, Grenoble, France","GIPSA - Signal Images Physique","Chinese Academy of Sciences [Beijing]"],"raw_orcid":"https://orcid.org/0000-0003-4817-2875","affiliations":[{"raw_affiliation_string":"LJK, CNRS, INRIA, Grenoble Institute of Technology (Grenoble INP), University of Grenoble Alpes, Grenoble, France","institution_ids":["https://openalex.org/I4210149092","https://openalex.org/I1294671590","https://openalex.org/I106785703","https://openalex.org/I1326498283","https://openalex.org/I899635006"]},{"raw_affiliation_string":"GIPSA - Signal Images Physique","institution_ids":["https://openalex.org/I4210124956"]},{"raw_affiliation_string":"Chinese Academy of Sciences [Beijing]","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025016784","display_name":"Uta Heiden","orcid":"https://orcid.org/0000-0002-3865-1912"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Uta Heiden","raw_affiliation_strings":["Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), We&#x00DF;ling, Germany"],"raw_orcid":"https://orcid.org/0000-0002-3865-1912","affiliations":[{"raw_affiliation_string":"Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), We&#x00DF;ling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100389658","display_name":"Bing Zhang","orcid":"https://orcid.org/0000-0001-7311-9844"},"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"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Zhang","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences [Beijing]"],"raw_orcid":"https://orcid.org/0000-0001-7311-9844","affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences [Beijing]","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":12,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":16.5706,"has_fulltext":true,"cited_by_count":222,"citation_normalized_percentile":{"value":0.99525985,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"33","issue":"11","first_page":"6518","last_page":"6531"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.98089998960495,"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":0.9803000092506409,"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":0.892238974571228},{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.7307284474372864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6591806411743164},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5752149820327759},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5590502619743347},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5471774339675903},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5072681307792664},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.42632508277893066},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.42522993683815},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3345070779323578},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23542460799217224},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1873457431793213}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.892238974571228},{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.7307284474372864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6591806411743164},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5752149820327759},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5590502619743347},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5471774339675903},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5072681307792664},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.42632508277893066},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.42522993683815},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3345070779323578},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23542460799217224},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1873457431793213},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tnnls.2021.3082289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3082289","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:34048352","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34048352","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:oai:elib.dlr.de:189602","is_oa":false,"landing_page_url":"https://doi.org/10.1109/TNNLS.2021.3082289>.","pdf_url":null,"source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Zeitschriftenbeitrag"},{"id":"pmh:oai:arXiv.org:2105.10194","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.10194","pdf_url":"https://arxiv.org/pdf/2105.10194","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":null,"raw_type":"text"},{"id":"pmh:oai:HAL:hal-03932897v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03932897","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"https://ieeexplore.ieee.org/document/9444141","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2105.10194","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.10194","pdf_url":"https://arxiv.org/pdf/2105.10194","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1041279674","display_name":"MIAI @ Grenoble Alpes","funder_award_id":"ANR-19-P3IA-0003","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G2092057362","display_name":null,"funder_award_id":"19-P3IA-0003","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G3584013848","display_name":null,"funder_award_id":"41722108","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5592969515","display_name":"Development of intelligent earth observation system based on incomplete data reconstruction and automatic selection of training samples","funder_award_id":"18K18067","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6064428495","display_name":null,"funder_award_id":"42030111","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7901184878","display_name":null,"funder_award_id":"ANR-19-P3IA-0003","funder_id":"https://openalex.org/F4320321048","funder_display_name":"AXA Research Fund"},{"id":"https://openalex.org/G8318455765","display_name":null,"funder_award_id":"ANR-19","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G8850684045","display_name":null,"funder_award_id":"KAKENHI 18K18067","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321048","display_name":"AXA Research Fund","ror":"https://ror.org/02zxqxw53"},{"id":"https://openalex.org/F4320321602","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt","ror":"https://ror.org/04bwf3e34"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3165729427.pdf","grobid_xml":"https://content.openalex.org/works/W3165729427.grobid-xml"},"referenced_works_count":73,"referenced_works":["https://openalex.org/W1524571335","https://openalex.org/W1836465849","https://openalex.org/W1957094454","https://openalex.org/W1990255627","https://openalex.org/W2019149505","https://openalex.org/W2019274094","https://openalex.org/W2042626896","https://openalex.org/W2060147006","https://openalex.org/W2061280223","https://openalex.org/W2070424424","https://openalex.org/W2084252873","https://openalex.org/W2088259770","https://openalex.org/W2113753426","https://openalex.org/W2113898416","https://openalex.org/W2127062304","https://openalex.org/W2139047226","https://openalex.org/W2141494774","https://openalex.org/W2151111809","https://openalex.org/W2157321686","https://openalex.org/W2163886442","https://openalex.org/W2166864699","https://openalex.org/W2311995462","https://openalex.org/W2346349995","https://openalex.org/W2406093411","https://openalex.org/W2415341181","https://openalex.org/W2517481871","https://openalex.org/W2598693662","https://openalex.org/W2609880332","https://openalex.org/W2694603942","https://openalex.org/W2740976805","https://openalex.org/W2755992512","https://openalex.org/W2761336374","https://openalex.org/W2781151014","https://openalex.org/W2791928749","https://openalex.org/W2792897399","https://openalex.org/W2798328034","https://openalex.org/W2808979303","https://openalex.org/W2809306703","https://openalex.org/W2886042776","https://openalex.org/W2894115892","https://openalex.org/W2897962879","https://openalex.org/W2899003677","https://openalex.org/W2907147407","https://openalex.org/W2910457605","https://openalex.org/W2911419410","https://openalex.org/W2912151024","https://openalex.org/W2921511952","https://openalex.org/W2941413120","https://openalex.org/W2942765877","https://openalex.org/W2944669618","https://openalex.org/W2949117887","https://openalex.org/W2949464013","https://openalex.org/W2953303055","https://openalex.org/W2977355106","https://openalex.org/W2983217715","https://openalex.org/W2985926249","https://openalex.org/W3047443805","https://openalex.org/W3048631361","https://openalex.org/W3099751232","https://openalex.org/W3100638366","https://openalex.org/W3101012758","https://openalex.org/W3101640299","https://openalex.org/W3102578566","https://openalex.org/W3102692100","https://openalex.org/W3103294617","https://openalex.org/W3103695279","https://openalex.org/W3105021316","https://openalex.org/W3133902755","https://openalex.org/W3140885850","https://openalex.org/W3154512708","https://openalex.org/W4392677642","https://openalex.org/W6638667902","https://openalex.org/W6761985274"],"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/W2315521504","https://openalex.org/W2890371384","https://openalex.org/W2773863718","https://openalex.org/W2563324120","https://openalex.org/W2040756827"],"abstract_inverted_index":{"Over":[0],"the":[1,11,43,52,59,80,86,95,112,120,148,181,192,197,209],"past":[2],"decades,":[3],"enormous":[4],"efforts":[5],"have":[6],"been":[7],"made":[8],"to":[9,26,42,54,69,118,156,163,188],"improve":[10],"performance":[12],"of":[13,63,82,122,184,196],"linear":[14],"or":[15,114],"nonlinear":[16],"mixing":[17],"models":[18],"for":[19,75,170],"hyperspectral":[20,87],"unmixing":[21,91,124,145,159,201],"(HU),":[22],"yet":[23],"their":[24],"ability":[25,45,62],"simultaneously":[27],"generalize":[28],"various":[29,55],"spectral":[30,158],"variabilities":[31],"(SVs)":[32],"and":[33,49,51,130,137,143,194],"extract":[34],"physically":[35],"meaningful":[36,133],"endmembers":[37,83,117],"still":[38],"remains":[39],"limited":[40,155],"due":[41],"poor":[44],"in":[46],"data":[47],"fitting":[48],"reconstruction":[50],"sensitivity":[53],"SVs.":[56],"Inspired":[57],"by":[58,77,126],"powerful":[60],"learning":[61,65],"deep":[64,104],"(DL),":[66],"we":[67],"attempt":[68],"develop":[70],"a":[71,101,140],"general":[72,150],"DL":[73],"approach":[74],"HU,":[76],"fully":[78],"considering":[79],"properties":[81],"extracted":[84],"from":[85,111,208],"imagery,":[88],"called":[89],"endmember-guided":[90],"network":[92,110,125,128],"(EGU-Net).":[93],"Beyond":[94],"alone":[96],"autoencoder-like":[97],"architecture,":[98],"EGU-Net":[99,198],"is":[100,152],"two-stream":[102],"Siamese":[103],"network,":[105],"which":[106],"learns":[107],"an":[108],"additional":[109],"pure":[113,116],"nearly":[115],"correct":[119],"weights":[121],"another":[123],"sharing":[127],"parameters":[129],"adding":[131],"spectrally":[132],"constraints":[134],"(e.g.,":[135],"nonnegativity":[136],"sum-to-one)":[138],"toward":[139],"more":[141],"accurate":[142],"interpretable":[144],"solution.":[146],"Furthermore,":[147],"resulting":[149],"framework":[151],"not":[153],"only":[154],"pixelwise":[157],"but":[160],"also":[161],"applicable":[162],"spatial":[164],"information":[165],"modeling":[166],"with":[167,180],"convolutional":[168],"operators":[169],"spatial-spectral":[171],"unmixing.":[172],"Experimental":[173],"results":[174],"conducted":[175],"on":[176],"three":[177],"different":[178],"datasets":[179],"ground":[182],"truth":[183],"abundance":[185],"maps":[186],"corresponding":[187],"each":[189],"material":[190],"demonstrate":[191],"effectiveness":[193],"superiority":[195],"over":[199],"state-of-the-art":[200],"algorithms.":[202],"The":[203],"codes":[204],"will":[205],"be":[206],"available":[207],"website:":[210],"https://github.com/danfenghong/IEEE_TNNLS_EGU-Net.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":41},{"year":2024,"cited_by_count":52},{"year":2023,"cited_by_count":57},{"year":2022,"cited_by_count":42},{"year":2021,"cited_by_count":18}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}
