{"id":"https://openalex.org/W4387803034","doi":"https://doi.org/10.1109/igarss52108.2023.10281795","title":"B1D\u2013CNN: A Novel Convolution Neural Network-Based Chlorophyll-A Retrieval Algorithm for Sentinel\u20132 Data","display_name":"B1D\u2013CNN: A Novel Convolution Neural Network-Based Chlorophyll-A Retrieval Algorithm for Sentinel\u20132 Data","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387803034","doi":"https://doi.org/10.1109/igarss52108.2023.10281795"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10281795","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10281795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-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/A5054511876","display_name":"Muhammad Salah","orcid":"https://orcid.org/0009-0002-2758-4061"},"institutions":[{"id":"https://openalex.org/I78928947","display_name":"Kyoto University of Advanced Science","ror":"https://ror.org/00qa6r925","country_code":"JP","type":"education","lineage":["https://openalex.org/I78928947"]},{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Muhammad Salah","raw_affiliation_strings":["Kyoto University of Advanced Science,Graduate School of Engineering","Graduate School of Engineering, Kyoto University of Advanced Science"],"affiliations":[{"raw_affiliation_string":"Kyoto University of Advanced Science,Graduate School of Engineering","institution_ids":["https://openalex.org/I78928947","https://openalex.org/I22299242"]},{"raw_affiliation_string":"Graduate School of Engineering, Kyoto University of Advanced Science","institution_ids":["https://openalex.org/I78928947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013230969","display_name":"Hiroto HIGA","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I78928947","display_name":"Kyoto University of Advanced Science","ror":"https://ror.org/00qa6r925","country_code":"JP","type":"education","lineage":["https://openalex.org/I78928947"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroto Higa","raw_affiliation_strings":["Kyoto University of Advanced Science,Graduate School of Engineering","Graduate School of Engineering, Kyoto University of Advanced Science"],"affiliations":[{"raw_affiliation_string":"Kyoto University of Advanced Science,Graduate School of Engineering","institution_ids":["https://openalex.org/I78928947","https://openalex.org/I22299242"]},{"raw_affiliation_string":"Graduate School of Engineering, Kyoto University of Advanced Science","institution_ids":["https://openalex.org/I78928947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026812279","display_name":"Joji Ishizaka","orcid":"https://orcid.org/0000-0003-0398-1572"},"institutions":[{"id":"https://openalex.org/I78928947","display_name":"Kyoto University of Advanced Science","ror":"https://ror.org/00qa6r925","country_code":"JP","type":"education","lineage":["https://openalex.org/I78928947"]},{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Joji Ishizaka","raw_affiliation_strings":["Kyoto University of Advanced Science,Graduate School of Engineering","Graduate School of Engineering, Kyoto University of Advanced Science"],"affiliations":[{"raw_affiliation_string":"Kyoto University of Advanced Science,Graduate School of Engineering","institution_ids":["https://openalex.org/I78928947","https://openalex.org/I22299242"]},{"raw_affiliation_string":"Graduate School of Engineering, Kyoto University of Advanced Science","institution_ids":["https://openalex.org/I78928947"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036698794","display_name":"Salem Ibrahim Salem","orcid":"https://orcid.org/0000-0001-7707-2684"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I78928947","display_name":"Kyoto University of Advanced Science","ror":"https://ror.org/00qa6r925","country_code":"JP","type":"education","lineage":["https://openalex.org/I78928947"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Salem Ibrahim Salem","raw_affiliation_strings":["Kyoto University of Advanced Science,Graduate School of Engineering","Graduate School of Engineering, Kyoto University of Advanced Science"],"affiliations":[{"raw_affiliation_string":"Kyoto University of Advanced Science,Graduate School of Engineering","institution_ids":["https://openalex.org/I78928947","https://openalex.org/I22299242"]},{"raw_affiliation_string":"Graduate School of Engineering, Kyoto University of Advanced Science","institution_ids":["https://openalex.org/I78928947"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5054511876"],"corresponding_institution_ids":["https://openalex.org/I22299242","https://openalex.org/I78928947"],"apc_list":null,"apc_paid":null,"fwci":1.1252,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.77859601,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3950","last_page":"3953"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10032","display_name":"Marine and coastal ecosystems","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10032","display_name":"Marine and coastal ecosystems","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9681000113487244,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7603458166122437},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6773326992988586},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5168645977973938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5168328881263733},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.4931721091270447},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.49222198128700256},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46272650361061096},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4410097002983093},{"id":"https://openalex.org/keywords/chlorophyll-a","display_name":"Chlorophyll a","score":0.426460862159729},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4169577658176422},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3464115262031555},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.090233713388443},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06227657198905945}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7603458166122437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6773326992988586},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5168645977973938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5168328881263733},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.4931721091270447},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.49222198128700256},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46272650361061096},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4410097002983093},{"id":"https://openalex.org/C2778902199","wikidata":"https://www.wikidata.org/wiki/Q133878","display_name":"Chlorophyll a","level":2,"score":0.426460862159729},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4169577658176422},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3464115262031555},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.090233713388443},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06227657198905945},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss52108.2023.10281795","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10281795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"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/W1564026136","https://openalex.org/W1979118871","https://openalex.org/W1987165082","https://openalex.org/W1994689062","https://openalex.org/W2007101051","https://openalex.org/W2018647784","https://openalex.org/W2020972217","https://openalex.org/W2056435747","https://openalex.org/W2063012028","https://openalex.org/W2100738276","https://openalex.org/W2140939548","https://openalex.org/W2147717328","https://openalex.org/W2148068748","https://openalex.org/W2227227452","https://openalex.org/W2296719434","https://openalex.org/W2621137265","https://openalex.org/W2739697395","https://openalex.org/W2791007614","https://openalex.org/W2808645289","https://openalex.org/W2920938544","https://openalex.org/W2926207623","https://openalex.org/W2943845795","https://openalex.org/W2993161334","https://openalex.org/W3004942926","https://openalex.org/W3015988182","https://openalex.org/W3041309317","https://openalex.org/W3044422407","https://openalex.org/W3099474284","https://openalex.org/W3103965692","https://openalex.org/W3130448211","https://openalex.org/W3165393127","https://openalex.org/W3171170479","https://openalex.org/W4210800473","https://openalex.org/W4230537926","https://openalex.org/W4235650656"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"(DL)":[2],"methods":[3,139],"have":[4],"been":[5],"recently":[6],"considered":[7],"suitable":[8],"for":[9,20],"Chlorophyll-a":[10],"(Chla)":[11],"retrieval":[12,77],"from":[13],"satellite":[14,105],"data":[15],"due":[16],"to":[17,45,88,98,140],"their":[18],"ability":[19],"handling":[21],"complex,":[22],"high-dimensional,":[23],"and":[24,39,64,73,119],"noisy":[25],"data.":[26,82],"This":[27,131],"manuscript":[28],"describes":[29],"B1D\u2013CNN,":[30,118],"a":[31,40,86,96,108],"new":[32],"model":[33,61,122],"combining":[34],"1D-convolutional":[35],"neural":[36],"networks":[37],"(1D-CNN)":[38],"traditional":[41],"empirical":[42],"blend":[43],"algorithm":[44],"estimate":[46],"Chla":[47,76,126],"using":[48,79,117,137],"the":[49,56,67,74,92,102,120,124,134],"MultiSpectral":[50],"Instrument":[51],"(MSI)":[52],"sensor":[53],"on":[54],"board":[55],"Sentinel-2":[57],"satellite.":[58],"The":[59,83],"proposed":[60,121],"is":[62],"trained":[63],"evaluated":[65],"against":[66],"state-of-the-art":[68],"Mixture":[69],"Density":[70],"Network":[71],"(MDN)":[72],"classical":[75],"algorithms":[78],"global":[80],"in-situ":[81],"results":[84],"show":[85],"9.25%":[87],"54.12%":[89],"improvement":[90],"in":[91,101],"RMSE,":[93],"along":[94],"with":[95,129],"3.45%":[97],"59.53%":[99],"reduction":[100],"MAE.":[103],"A":[104],"image":[106],"during":[107],"harmful":[109],"algal":[110],"bloom":[111],"(HABs)":[112],"event":[113],"was":[114],"also":[115],"assessed":[116],"captured":[123],"high":[125],"batches":[127],"associated":[128],"HABs.":[130],"study":[132],"indicates":[133],"advantages":[135],"of":[136],"DL":[138],"retrieve":[141],"Chla.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}