{"id":"https://openalex.org/W4402263775","doi":"https://doi.org/10.1109/igarss53475.2024.10640672","title":"Adaptive Endmembers Learning-Based Deep Unmixing Network for Hyperspectral Change Detection","display_name":"Adaptive Endmembers Learning-Based Deep Unmixing Network for Hyperspectral Change Detection","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402263775","doi":"https://doi.org/10.1109/igarss53475.2024.10640672"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10640672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10640672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5112652769","display_name":"Shuyi Xu","orcid":"https://orcid.org/0009-0002-9509-7062"},"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":"Shuyi Xu","raw_affiliation_strings":["Chinese Academy of Sciences,Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute,Beijing,China,100094"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute,Beijing,China,100094","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071157075","display_name":"Luyang Cai","orcid":null},"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":"Luyang Cai","raw_affiliation_strings":["Chinese Academy of Sciences,Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute,Beijing,China,100094"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute,Beijing,China,100094","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034433094","display_name":"He Sun","orcid":"https://orcid.org/0000-0001-8305-9507"},"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":"He Sun","raw_affiliation_strings":["Chinese Academy of Sciences,Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute,Beijing,China,100094"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute,Beijing,China,100094","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]},{"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":["Chinese Academy of Sciences,Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute,Beijing,China,100094"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute,Beijing,China,100094","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022815251","display_name":"Lina Yang","orcid":"https://orcid.org/0000-0002-1742-9941"},"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":"Lina Yang","raw_affiliation_strings":["Chinese Academy of Sciences,National Engineering Research Center for Geomatics, Aerospace Information Research Institute,Beijing,China,100094"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,National Engineering Research Center for Geomatics, Aerospace Information Research Institute,Beijing,China,100094","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]},{"author_position":"last","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":["Chinese Academy of Sciences,Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute,Beijing,China,100094"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute,Beijing,China,100094","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3901,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.9035457,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"10333","last_page":"10337"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9855999946594238,"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":0.8992242217063904},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6798268556594849},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6213234663009644},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5685868263244629},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44874024391174316},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.34362494945526123},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3275521397590637},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1785408854484558}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8992242217063904},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6798268556594849},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6213234663009644},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5685868263244629},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44874024391174316},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.34362494945526123},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3275521397590637},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1785408854484558}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10640672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10640672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2008265903","https://openalex.org/W2021131789","https://openalex.org/W2132222679","https://openalex.org/W2800240447","https://openalex.org/W2884276099","https://openalex.org/W2890376060","https://openalex.org/W2900587135","https://openalex.org/W2953308875","https://openalex.org/W3034552520","https://openalex.org/W3099831940","https://openalex.org/W4213124617","https://openalex.org/W4313644075"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W2385371209","https://openalex.org/W1973197867","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W1991437568","https://openalex.org/W4281675222","https://openalex.org/W2568271140"],"abstract_inverted_index":{"Hyperspectral":[0],"image":[1],"(HSI)":[2],"change":[3,10,71,92],"detection":[4,72,93],"can":[5,32,75],"detect":[6],"subtle":[7],"land":[8],"surface":[9],"information,":[11],"which":[12,74],"is":[13,44],"of":[14,22,41],"great":[15],"significance":[16],"for":[17,69],"promoting":[18],"the":[19,39,50,70,88,97,101],"sustainable":[20],"development":[21],"human":[23],"beings.":[24],"Different":[25],"from":[26],"traditional":[27],"methods,":[28],"deep":[29,63],"learningbased":[30],"methods":[31],"effectively":[33],"extract":[34],"more":[35],"discriminative":[36],"features,":[37],"but":[38],"problem":[40],"mixed":[42],"pixels":[43],"still":[45],"a":[46],"challenge":[47],"due":[48],"to":[49],"low":[51],"spatial":[52],"resolution":[53],"HSI.":[54],"In":[55],"this":[56],"study,":[57],"an":[58,77],"Adaptive":[59],"Endmembers":[60],"Learning":[61],"(AEL)-based":[62],"unmixing":[64,79],"network":[65],"has":[66],"been":[67],"proposed":[68],"task,":[73],"perform":[76],"unsupervised":[78],"through":[80],"adaptive":[81],"endmembers":[82],"learning":[83],"and":[84,90,100],"then":[85],"obtain":[86],"both":[87],"binary":[89],"multi-class":[91],"results.":[94],"Experiments":[95],"on":[96],"China":[98],"dataset":[99,103],"USA":[102],"have":[104],"shown":[105],"that":[106],"AEL":[107],"performs":[108],"better":[109],"than":[110],"current":[111],"state-of-the-art":[112],"methods.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}