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.
A Two-dimensional TSVD resolution enhancement for EO ocean applications
MIGLIACCIO, Maurizio;NUNZIATA, FERDINANDO;
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.File in questo prodotto:
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