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EnglishA two-dimensional truncated singular value decomposition (TSVD) technique is first proposed to enhance spatial resolution of earth observation (EO) products related to ocean-atmosphere interaction. The technique is based on the assumption that the gain function is a two-dimensional tensor product. To set the value of the truncation parameter the Generalized Cross Validation is adopted. Experiments undertaken on a data set of simulated two- dimensional radiometer measurements show the robustness of the technique against the additive noise level and its effectiveness in both reconstruction accuracy and processing time.
| Titolo: | A Two-dimensional TSVD resolution enhancement for EO ocean applications |
| Autori: | |
| Data di pubblicazione: | 2012 |
| Abstract: | A two-dimensional truncated singular value decomposition (TSVD) technique is first proposed to enhance spatial resolution of earth observation (EO) products related to ocean-atmosphere interaction. The technique is based on the assumption that the gain function is a two-dimensional tensor product. To set the value of the truncation parameter the Generalized Cross Validation is adopted. Experiments undertaken on a data set of simulated two- dimensional radiometer measurements show the robustness of the technique against the additive noise level and its effectiveness in both reconstruction accuracy and processing time. |
| Handle: | http://hdl.handle.net/11367/2625 |
| ISBN: | 978-92-9092-267-4 |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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