Detection of Sargassum from Sentinel Satellite Sensors Using Deep Learning Approach.
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| Title: | Detection of Sargassum from Sentinel Satellite Sensors Using Deep Learning Approach. |
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| Authors: | Laval, Marine1,2 (AUTHOR) marine.laval@mio.osupytheas.fr, Belmouhcine, Abdelbadie3 (AUTHOR), Courtrai, Luc3 (AUTHOR), Descloitres, Jacques4 (AUTHOR), Salazar-Garibay, Adán5 (AUTHOR), Schamberger, Léa6,7 (AUTHOR), Minghelli, Audrey6,7 (AUTHOR), Thibaut, Thierry2 (AUTHOR), Dorville, René1 (AUTHOR), Mazoyer, Camille2 (AUTHOR), Zongo, Pascal1 (AUTHOR), Chevalier, Cristèle2 (AUTHOR) |
| Source: | Remote Sensing. Feb2023, Vol. 15 Issue 4, p1104. 21p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 162160926 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=162160926 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/rs15041104 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 1104 Titles: – TitleFull: Detection of Sargassum from Sentinel Satellite Sensors Using Deep Learning Approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Laval, Marine – PersonEntity: Name: NameFull: Belmouhcine, Abdelbadie – PersonEntity: Name: NameFull: Courtrai, Luc – PersonEntity: Name: NameFull: Descloitres, Jacques – PersonEntity: Name: NameFull: Salazar-Garibay, Adán – PersonEntity: Name: NameFull: Schamberger, Léa – PersonEntity: Name: NameFull: Minghelli, Audrey – PersonEntity: Name: NameFull: Thibaut, Thierry – PersonEntity: Name: NameFull: Dorville, René – PersonEntity: Name: NameFull: Mazoyer, Camille – PersonEntity: Name: NameFull: Zongo, Pascal – PersonEntity: Name: NameFull: Chevalier, Cristèle IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 02 Text: Feb2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 20724292 Numbering: – Type: volume Value: 15 – Type: issue Value: 4 Titles: – TitleFull: Remote Sensing Type: main |
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