{"id":"https://openalex.org/W4417285894","doi":"https://doi.org/10.1109/jstars.2025.3622311","title":"Generalization Performance of Neural Mapping Schemes for the Space\u2013Time Interpolation of Satellite-Derived Ocean Color Datasets","display_name":"Generalization Performance of Neural Mapping Schemes for the Space\u2013Time Interpolation of Satellite-Derived Ocean Color Datasets","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4417285894","doi":"https://doi.org/10.1109/jstars.2025.3622311"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2025.3622311","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3622311","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2025.3622311","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110911621","display_name":"Thi Thuy Nga Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I161929037","display_name":"Universit\u00e9 de Bretagne Occidentale","ror":"https://ror.org/01b8h3982","country_code":"FR","type":"education","lineage":["https://openalex.org/I161929037"]},{"id":"https://openalex.org/I4210123702","display_name":"Laboratoire des Sciences et Techniques de l\u2019Information de la Communication et de la Connaissance","ror":"https://ror.org/0266kfd37","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I180375564","https://openalex.org/I201181511","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I4210123702","https://openalex.org/I4210127572","https://openalex.org/I4210145102","https://openalex.org/I4210148559","https://openalex.org/I4210159245","https://openalex.org/I4405260085"]},{"id":"https://openalex.org/I4210127572","display_name":"IMT Atlantique","ror":"https://ror.org/030hj3061","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210127572"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Thi Thuy Nga Nguyen","raw_affiliation_strings":["UMR CNRS Lab-STICC, INRIA team Odyssey, IMT Atlantique, Brest, France"],"raw_orcid":"https://orcid.org/0000-0003-0078-4952","affiliations":[{"raw_affiliation_string":"UMR CNRS Lab-STICC, INRIA team Odyssey, IMT Atlantique, Brest, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I161929037","https://openalex.org/I4210123702","https://openalex.org/I4210127572"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062713441","display_name":"Cl\u00e9ment Dorffer","orcid":"https://orcid.org/0000-0001-9559-3408"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I161929037","display_name":"Universit\u00e9 de Bretagne Occidentale","ror":"https://ror.org/01b8h3982","country_code":"FR","type":"education","lineage":["https://openalex.org/I161929037"]},{"id":"https://openalex.org/I4210123702","display_name":"Laboratoire des Sciences et Techniques de l\u2019Information de la Communication et de la Connaissance","ror":"https://ror.org/0266kfd37","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I180375564","https://openalex.org/I201181511","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I4210123702","https://openalex.org/I4210127572","https://openalex.org/I4210145102","https://openalex.org/I4210148559","https://openalex.org/I4210159245","https://openalex.org/I4405260085"]},{"id":"https://openalex.org/I4210127572","display_name":"IMT Atlantique","ror":"https://ror.org/030hj3061","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210127572"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Cl\u00e9ment Dorffer","raw_affiliation_strings":["UMR CNRS Lab-STICC, INRIA team Odyssey, IMT Atlantique, Brest, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UMR CNRS Lab-STICC, INRIA team Odyssey, IMT Atlantique, Brest, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I161929037","https://openalex.org/I4210123702","https://openalex.org/I4210127572"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022925135","display_name":"Fr\u00e9d\u00e9ric Jourdin","orcid":"https://orcid.org/0000-0002-7508-8946"},"institutions":[{"id":"https://openalex.org/I2945610430","display_name":"Service Hydrographique et Oc\u00e9anographique de la Marine","ror":"https://ror.org/01nre9703","country_code":"FR","type":"government","lineage":["https://openalex.org/I2945610430"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fr\u00e9d\u00e9ric Jourdin","raw_affiliation_strings":["Service Hydrographique et Oc&#x00E9;anographique de la Marine (Shom), Brest, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Service Hydrographique et Oc&#x00E9;anographique de la Marine (Shom), Brest, France","institution_ids":["https://openalex.org/I2945610430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075497720","display_name":"Ronan Fablet","orcid":"https://orcid.org/0000-0002-6462-423X"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I161929037","display_name":"Universit\u00e9 de Bretagne Occidentale","ror":"https://ror.org/01b8h3982","country_code":"FR","type":"education","lineage":["https://openalex.org/I161929037"]},{"id":"https://openalex.org/I4210123702","display_name":"Laboratoire des Sciences et Techniques de l\u2019Information de la Communication et de la Connaissance","ror":"https://ror.org/0266kfd37","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I180375564","https://openalex.org/I201181511","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I4210123702","https://openalex.org/I4210127572","https://openalex.org/I4210145102","https://openalex.org/I4210148559","https://openalex.org/I4210159245","https://openalex.org/I4405260085"]},{"id":"https://openalex.org/I4210127572","display_name":"IMT Atlantique","ror":"https://ror.org/030hj3061","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210127572"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ronan Fablet","raw_affiliation_strings":["UMR CNRS Lab-STICC, INRIA team Odyssey, IMT Atlantique, Brest, France"],"raw_orcid":"https://orcid.org/0000-0002-6462-423X","affiliations":[{"raw_affiliation_string":"UMR CNRS Lab-STICC, INRIA team Odyssey, IMT Atlantique, Brest, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I161929037","https://openalex.org/I4210123702","https://openalex.org/I4210127572"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1800,"currency":"USD","value_usd":1800},"apc_paid":{"value":1800,"currency":"USD","value_usd":1800},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22582319,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"27291","last_page":"27301"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10032","display_name":"Marine and coastal ecosystems","score":0.3084999918937683,"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":0.3084999918937683,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.14640000462532043,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.04569999873638153,"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/generalization","display_name":"Generalization","score":0.7114999890327454},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.588699996471405},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5875999927520752},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.49959999322891235},{"id":"https://openalex.org/keywords/seawifs","display_name":"SeaWiFS","score":0.48030000925064087},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43950000405311584},{"id":"https://openalex.org/keywords/ocean-color","display_name":"Ocean color","score":0.3865000009536743},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.3368000090122223}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7114999890327454},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6604999899864197},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.588699996471405},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5875999927520752},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.49959999322891235},{"id":"https://openalex.org/C117082904","wikidata":"https://www.wikidata.org/wiki/Q2261857","display_name":"SeaWiFS","level":4,"score":0.48030000925064087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4641999900341034},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43950000405311584},{"id":"https://openalex.org/C2776939893","wikidata":"https://www.wikidata.org/wiki/Q7076134","display_name":"Ocean color","level":3,"score":0.3865000009536743},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.35679998993873596},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3368000090122223},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3244999945163727},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.3149999976158142},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31470000743865967},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.3037000000476837},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2946000099182129},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.2930999994277954},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.29269999265670776},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2827000021934509},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26820001006126404},{"id":"https://openalex.org/C24245907","wikidata":"https://www.wikidata.org/wiki/Q498957","display_name":"Particulates","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2563000023365021}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/jstars.2025.3622311","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3622311","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2503.11588","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.11588","pdf_url":"https://arxiv.org/pdf/2503.11588","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:HAL:hal-05686313v1","is_oa":true,"landing_page_url":"https://cnrs.hal.science/hal-05686313","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025, 18, pp.27291-27301. &#x27E8;10.1109/jstars.2025.3622311&#x27E9;","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:702e58d765fe4a49a8fb573966c2a14b","is_oa":true,"landing_page_url":"https://doaj.org/article/702e58d765fe4a49a8fb573966c2a14b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 27291-27301 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3622311","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3622311","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7893737637","display_name":"Physics-Informed AI for Observation-driven Ocean AnalytiX","funder_award_id":"ANR-19-CHIA-0016","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Neural":[0],"mapping":[1,61,76,127],"schemes":[2,62,77,163],"have":[3],"become":[4],"appealing":[5],"approaches":[6,22],"to":[7,78],"deliver":[8,79],"gap-free":[9,80],"satellite-derived":[10,34,81,168],"products":[11,37],"for":[12,33,97,164],"sea":[13],"surface":[14],"tracers.":[15],"The":[16],"generalization":[17,72,133],"performance":[18,73,134],"of":[19,41,44,51,74,111,161,167],"these":[20,152],"learning-based":[21],"naturally":[23],"arises":[24],"as":[25,46,48],"a":[26,87,108],"key":[27],"challenge.":[28],"This":[29,69],"is":[30],"particularly":[31],"true":[32],"ocean":[35,82,94,169],"colour":[36,83,95,170],"given":[38],"the":[39,49,104,158,165],"variety":[40],"bio-optical":[42,112,138],"variables":[43],"interest,":[45],"well":[47],"diversity":[50],"processes":[52],"and":[53,58,103,107,129,137],"scales":[54],"involved.":[55],"Considering":[56],"region-specific":[57],"parameter-specific":[59],"neural":[60,75,126,162],"will":[63],"result":[64],"in":[65],"substantial":[66],"training":[67],"costs.":[68],"study":[70],"addresses":[71],"products.":[84],"We":[85,123,148],"develop":[86],"comprehensive":[88],"experimental":[89],"framework":[90],"using":[91,143],"real":[92],"multi-sensor":[93],"datasets":[96,171],"two":[98],"regions":[99,136],"(the":[100],"Mediterranean":[101],"Sea":[102],"North":[105],"Sea)":[106],"representative":[109],"set":[110],"parameters":[113,139],"(Chlorophyll-a":[114],"concentration,":[115,119],"suspended":[116],"particulate":[117,120],"matter":[118],"backscattering":[121],"coefficient).":[122],"consider":[124],"several":[125],"schemes,":[128],"we":[130],"report":[131],"excellent":[132],"across":[135],"without":[140],"any":[141],"fine-tuning":[142],"appropriate":[144],"dataset-specific":[145],"normalization":[146],"procedures.":[147],"discuss":[149],"further":[150],"how":[151],"results":[153],"provide":[154],"new":[155],"insights":[156],"towards":[157],"large-scale":[159],"deployment":[160],"processing":[166],"beyond":[172],"case-study-specific":[173],"demonstrations.":[174]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-17T00:00:00"}
