A two-dimensional truncated singular value decomposition (TSVD) technique is rst proposed to enhance spatial resolution of earth observation (EO) products. The algorithm is based on the assumption that the gain function is a two-dimensional tensor product. Experiments undertaken on the data set of simulated two-dimensional radiometer measurements show the robustness of the technique and its eectiveness from a processing time viewpoint.
Two-dimensional TSVD resolution enhancement for EO applications
RODRIGUEZ, GIUSEPPE
2012-01-01
Abstract
A two-dimensional truncated singular value decomposition (TSVD) technique is rst proposed to enhance spatial resolution of earth observation (EO) products. The algorithm is based on the assumption that the gain function is a two-dimensional tensor product. Experiments undertaken on the data set of simulated two-dimensional radiometer measurements show the robustness of the technique and its eectiveness from a processing time viewpoint.
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