{"id":"https://openalex.org/W4387587777","doi":"https://doi.org/10.1109/lgrs.2023.3324208","title":"ADASR: An Adversarial Auto-Augmentation Framework for Hyperspectral and Multispectral Data Fusion","display_name":"ADASR: An Adversarial Auto-Augmentation Framework for Hyperspectral and Multispectral Data Fusion","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387587777","doi":"https://doi.org/10.1109/lgrs.2023.3324208"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2023.3324208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3324208","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","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/A5091494473","display_name":"Jinghui Qin","orcid":"https://orcid.org/0000-0003-0663-199X"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinghui Qin","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113022142","display_name":"Lihuang Fang","orcid":"https://orcid.org/0009-0001-6666-9431"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihuang Fang","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018914037","display_name":"Ruitao Lu","orcid":"https://orcid.org/0000-0002-7527-4298"},"institutions":[{"id":"https://openalex.org/I2801618472","display_name":"PLA Rocket Force University of Engineering","ror":"https://ror.org/00gg5zj35","country_code":"CN","type":"education","lineage":["https://openalex.org/I2801618472"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruitao Lu","raw_affiliation_strings":["Department of Missile Engineering, Rocket Force University of Engineering, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-7527-4298","affiliations":[{"raw_affiliation_string":"Department of Missile Engineering, Rocket Force University of Engineering, Xi’an, China","institution_ids":["https://openalex.org/I2801618472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100412937","display_name":"Liang Lin","orcid":"https://orcid.org/0000-0003-2248-3755"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Lin","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2248-3755","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039893934","display_name":"Yukai Shi","orcid":"https://orcid.org/0000-0002-9413-6528"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yukai Shi","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9413-6528","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5091494473"],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":1.8118,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.87132859,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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":0.9932000041007996,"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/upsampling","display_name":"Upsampling","score":0.9148225784301758},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8426040410995483},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.8284958600997925},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7752445936203003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7332811951637268},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6131969690322876},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5060068964958191},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4916234612464905},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.46125635504722595},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46055829524993896},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4397532343864441},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.42779144644737244},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42014646530151367},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4131302833557129}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.9148225784301758},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8426040410995483},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8284958600997925},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7752445936203003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7332811951637268},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6131969690322876},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5060068964958191},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4916234612464905},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.46125635504722595},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46055829524993896},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4397532343864441},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.42779144644737244},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42014646530151367},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4131302833557129},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2023.3324208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3324208","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G397464320","display_name":null,"funder_award_id":"2021ZD0111600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5463303801","display_name":null,"funder_award_id":"62002069","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5543444180","display_name":null,"funder_award_id":"62206314","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8486830386","display_name":null,"funder_award_id":"2022A1515011835","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1940108662","https://openalex.org/W1990231296","https://openalex.org/W2021046129","https://openalex.org/W2133319764","https://openalex.org/W2162842940","https://openalex.org/W2221899823","https://openalex.org/W2276300401","https://openalex.org/W2798016471","https://openalex.org/W2804744787","https://openalex.org/W2899771611","https://openalex.org/W2954996726","https://openalex.org/W2963709863","https://openalex.org/W3097353710","https://openalex.org/W3097526063","https://openalex.org/W3099843321","https://openalex.org/W3102912004","https://openalex.org/W3133902755","https://openalex.org/W3140885850","https://openalex.org/W4213185605","https://openalex.org/W4226469049","https://openalex.org/W4229058281","https://openalex.org/W4320013936","https://openalex.org/W4324116435","https://openalex.org/W6679852000","https://openalex.org/W6694165358","https://openalex.org/W6756040250","https://openalex.org/W6811008586"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W2502115930","https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W4318664220","https://openalex.org/W2022304901","https://openalex.org/W2018850895","https://openalex.org/W2988577871","https://openalex.org/W1987483041"],"abstract_inverted_index":{"Deep":[0],"learning-based":[1],"hyperspectral":[2,17,114],"image":[3,18,22],"(HSI)":[4,19],"super-resolution,":[5],"which":[6],"aims":[7],"to":[8,70,123],"generate":[9],"high":[10],"spatial":[11],"resolution":[12],"HSI":[13],"(HR-HSI)":[14],"by":[15,91],"fusing":[16],"and":[20,65,81,86],"multispectral":[21],"(MSI)":[23],"with":[24],"deep":[25],"neural":[26,35],"networks":[27,36,89,102],"(DNNs),":[28],"has":[29],"attracted":[30],"lots":[31],"of":[32,40,119],"attention.":[33],"However,":[34],"require":[37],"large":[38],"amounts":[39],"training":[41,104],"data,":[42],"hindering":[43],"their":[44],"application":[45],"in":[46],"real-world":[47],"scenarios.":[48],"In":[49],"this":[50],"letter,":[51],"we":[52,96],"propose":[53],"a":[54],"novel":[55],"adversarial":[56,92],"automatic":[57],"data":[58,72],"augmentation":[59],"framework":[60,78],"ADASR":[61,121],"that":[62,95],"automatically":[63],"optimizes":[64,82],"augments":[66],"HSI-MSI":[67,75],"sample":[68],"pairs":[69],"enrich":[71],"diversity":[73],"for":[74,103],"fusion.":[76],"Our":[77],"is":[79],"sample-aware":[80],"an":[83],"augmentor":[84],"network":[85],"two":[87,111],"downsampling":[88,101],"jointly":[90],"learning":[93],"so":[94],"can":[97],"learn":[98],"more":[99],"robust":[100],"the":[105,117,124],"upsampling":[106],"network.":[107],"Extensive":[108],"experiments":[109],"on":[110],"public":[112],"classical":[113],"datasets":[115],"demonstrate":[116],"effectiveness":[118],"our":[120],"compared":[122],"state-of-the-art":[125],"methods.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-04T09:04:59.091469","created_date":"2025-10-10T00:00:00"}