{"id":"https://openalex.org/W4323647422","doi":"https://doi.org/10.1007/978-3-031-27066-6_16","title":"Deep RGB-Driven Learning Network for\u00a0Unsupervised Hyperspectral Image Super-Resolution","display_name":"Deep RGB-Driven Learning Network for\u00a0Unsupervised Hyperspectral Image Super-Resolution","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4323647422","doi":"https://doi.org/10.1007/978-3-031-27066-6_16"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-27066-6_16","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-27066-6_16","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":false,"raw_author_name":"Zhe Liu","raw_affiliation_strings":["Graduate School of Sciences and Technology for Innovation, Yamaguchi University, 1677-1 Yoshida, Yamaguchi, 753-8511, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Sciences and Technology for Innovation, Yamaguchi University, 1677-1 Yoshida, Yamaguchi, 753-8511, Japan","institution_ids":["https://openalex.org/I173915773"]}]},{"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":true,"raw_author_name":"Xian-Hua Han","raw_affiliation_strings":["Graduate School of Sciences and Technology for Innovation, Yamaguchi University, 1677-1 Yoshida, Yamaguchi, 753-8511, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Sciences and Technology for Innovation, Yamaguchi University, 1677-1 Yoshida, Yamaguchi, 753-8511, Japan","institution_ids":["https://openalex.org/I173915773"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086851360"],"corresponding_institution_ids":["https://openalex.org/I173915773"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.8333,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65668371,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"226","last_page":"239"},"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":0.9991999864578247,"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":0.9983000159263611,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7940447330474854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7895512580871582},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.7894210815429688},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7804511189460754},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5866715312004089},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5126994848251343},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4989316463470459},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.49118825793266296},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4555032551288605},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.43767350912094116}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7940447330474854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7895512580871582},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7894210815429688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7804511189460754},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5866715312004089},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5126994848251343},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4989316463470459},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.49118825793266296},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4555032551288605},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.43767350912094116}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-27066-6_16","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-27066-6_16","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":34,"referenced_works":["https://openalex.org/W1944540851","https://openalex.org/W1971335521","https://openalex.org/W1988386267","https://openalex.org/W2065321782","https://openalex.org/W2081203157","https://openalex.org/W2087263574","https://openalex.org/W2092116045","https://openalex.org/W2126025632","https://openalex.org/W2162842940","https://openalex.org/W2221899823","https://openalex.org/W2276858186","https://openalex.org/W2327302159","https://openalex.org/W2359099468","https://openalex.org/W2441795991","https://openalex.org/W2534569639","https://openalex.org/W2584763393","https://openalex.org/W2748530166","https://openalex.org/W2887210918","https://openalex.org/W2892302943","https://openalex.org/W2894290558","https://openalex.org/W2948475055","https://openalex.org/W2963284277","https://openalex.org/W2964140612","https://openalex.org/W2972330968","https://openalex.org/W2993041110","https://openalex.org/W2993046696","https://openalex.org/W2993917295","https://openalex.org/W3036024602","https://openalex.org/W3107490592","https://openalex.org/W3111907788","https://openalex.org/W3114279824","https://openalex.org/W3132300737","https://openalex.org/W3133596857","https://openalex.org/W3145766851"],"related_works":["https://openalex.org/W2022304901","https://openalex.org/W2018850895","https://openalex.org/W1987483041","https://openalex.org/W2792279927","https://openalex.org/W4385497869","https://openalex.org/W2317401237","https://openalex.org/W283587633","https://openalex.org/W1990800631","https://openalex.org/W2167120702","https://openalex.org/W2579567122"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-01-24T23:23:39.755997","created_date":"2025-10-10T00:00:00"}
