Mimar Sinan Güzel Sanatlar Üniversitesi Açık Bilim, Sanat Arşivi
Açık Bilim, Sanat Arşivi, Mimar Sinan Güzel Sanatlar Üniversitesi tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve yayınların etkisini artırmak için telif haklarına uygun olarak Açık Erişime sunar.MSGSÜ'de Ara
Functional linear regression models for scalar responses on remote sensing data: an application to Oceanography
dc.contributor.author | Acar-Denizli, Nihan | |
dc.contributor.author | Delicado, Pedro | |
dc.contributor.author | Basarir, Gulay | |
dc.contributor.author | Caballero, Isabel | |
dc.date.accessioned | 2025-01-09T20:14:06Z | |
dc.date.available | 2025-01-09T20:14:06Z | |
dc.date.issued | 2017 | |
dc.identifier.isbn | 978-3-319-55846-2 | |
dc.identifier.isbn | 978-3-319-55845-5 | |
dc.identifier.issn | 1431-1968 | |
dc.identifier.uri | https://doi.org/10.1007/978-3-319-55846-2_3 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14124/8728 | |
dc.description | 4th International Workshop on Functional and Operatorial Statistics (IWFOS) -- JUN 15-17, 2017 -- A Coruna, SPAIN | en_US |
dc.description.abstract | Remote Sensing (RS) data obtained from satellites are a type of spectral data which consist of reflectance values recorded at different wavelengths. This type of data can be considered as a functional data due to the continous structure of the spectrum. The aim of this study is to propose Functional Linear Regression Models (FLRMs) to analyze the turbidity in the coastal zone of Guadalquivir estuary from satellite data. With this aim different types of FLRMs for scalar response have been used to predict the amount of Total Suspended Solids (TSS) on RS data and their results have been compared. | en_US |
dc.description.sponsorship | Spanish Ministry of Economy and Competitiveness; European Regional Development Fund [MTM2013-43992-R] | en_US |
dc.description.sponsorship | This research was partially supported by the Spanish Ministry of Economy and Competitiveness, and European Regional Development Fund grant MTM2013-43992-R. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Springer International Publishing Ag | en_US |
dc.relation.ispartof | Functional Statistics and Related Fields | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.title | Functional linear regression models for scalar responses on remote sensing data: an application to Oceanography | en_US |
dc.type | conferenceObject | en_US |
dc.authorid | Caballero, Isabel/0000-0001-7485-0989 | |
dc.authorid | Acar-Denizli, Nihan/0000-0002-0012-8632 | |
dc.department | Mimar Sinan Güzel Sanatlar Üniversitesi | en_US |
dc.identifier.doi | 10.1007/978-3-319-55846-2_3 | |
dc.identifier.startpage | 15 | en_US |
dc.identifier.endpage | 21 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.identifier.wosquality | N/A | |
dc.identifier.wos | WOS:000426342800003 | |
dc.indekslendigikaynak | Web of Science | en_US |
dc.snmz | KA_20250105 |
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