{"id":"https://openalex.org/W3114279824","doi":"https://doi.org/10.1007/978-3-030-69756-3_3","title":"Unsupervised Multispectral and Hyperspectral Image Fusion with Deep Spatial and Spectral Priors","display_name":"Unsupervised Multispectral and Hyperspectral Image Fusion with Deep Spatial and Spectral Priors","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3114279824","doi":"https://doi.org/10.1007/978-3-030-69756-3_3","mag":"3114279824"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-69756-3_3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-69756-3_3","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5100462368","display_name":"Zhe Liu","orcid":"https://orcid.org/0000-0002-3756-2678"},"institutions":[{"id":"https://openalex.org/I173915773","display_name":"Yamaguchi University","ror":"https://ror.org/03cxys317","country_code":"JP","type":"education","lineage":["https://openalex.org/I173915773"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Zhe Liu","raw_affiliation_strings":["Graduate School of Science and Technology for Innovation, Yamaguchi University, Yamaguchi, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology for Innovation, Yamaguchi University, Yamaguchi, Japan","institution_ids":["https://openalex.org/I173915773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100698163","display_name":"Yinqiang Zheng","orcid":"https://orcid.org/0000-0001-7434-5069"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yinqiang Zheng","raw_affiliation_strings":["National Institute of Informatics, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086851360","display_name":"Xian\u2010Hua Han","orcid":"https://orcid.org/0000-0002-5003-3180"},"institutions":[{"id":"https://openalex.org/I173915773","display_name":"Yamaguchi University","ror":"https://ror.org/03cxys317","country_code":"JP","type":"education","lineage":["https://openalex.org/I173915773"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xian-Hua Han","raw_affiliation_strings":["Graduate School of Science and Technology for Innovation, Yamaguchi University, Yamaguchi, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology for Innovation, Yamaguchi University, Yamaguchi, Japan","institution_ids":["https://openalex.org/I173915773"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100462368"],"corresponding_institution_ids":["https://openalex.org/I173915773"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":9.6934,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.9871134,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"31","last_page":"45"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","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/T11659","display_name":"Advanced Image Fusion Techniques","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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8331950902938843},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.8003252744674683},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7730037569999695},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6664628386497498},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.618869960308075},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5921986699104309},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5501176714897156},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5463748574256897},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5098139643669128},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5060154795646667},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.481035053730011},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.44384288787841797},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.41793739795684814},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.11545935273170471}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8331950902938843},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8003252744674683},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7730037569999695},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6664628386497498},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.618869960308075},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5921986699104309},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5501176714897156},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5463748574256897},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5098139643669128},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5060154795646667},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.481035053730011},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.44384288787841797},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.41793739795684814},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.11545935273170471}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-69756-3_3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-69756-3_3","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W1966580635","https://openalex.org/W1977066218","https://openalex.org/W1988386267","https://openalex.org/W1999331929","https://openalex.org/W2053514113","https://openalex.org/W2056344322","https://openalex.org/W2059110141","https://openalex.org/W2064366277","https://openalex.org/W2067782748","https://openalex.org/W2084373423","https://openalex.org/W2092116045","https://openalex.org/W2097259623","https://openalex.org/W2097915756","https://openalex.org/W2111924917","https://openalex.org/W2118996198","https://openalex.org/W2120273653","https://openalex.org/W2131697388","https://openalex.org/W2162842940","https://openalex.org/W2173520492","https://openalex.org/W2186708576","https://openalex.org/W2221899823","https://openalex.org/W2257669061","https://openalex.org/W2314528731","https://openalex.org/W2592312604","https://openalex.org/W2792111852","https://openalex.org/W2803411951","https://openalex.org/W2887210918","https://openalex.org/W2915063743","https://openalex.org/W2964013315","https://openalex.org/W2964140612","https://openalex.org/W2993046696","https://openalex.org/W2998841120","https://openalex.org/W3177525997","https://openalex.org/W6818723395"],"related_works":["https://openalex.org/W3126336475","https://openalex.org/W3187789630","https://openalex.org/W2807839383","https://openalex.org/W2071004677","https://openalex.org/W2766312395","https://openalex.org/W2039191759","https://openalex.org/W1515213874","https://openalex.org/W2766146978","https://openalex.org/W1920248547","https://openalex.org/W4205174160"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}