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.
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 |