Two-Dimensional TSVD to Enhance the Spatial Resolution of Radiometer Data

作者：Lenti Flavia^*; Nunziata Ferdinando; Migliaccio Maurizio; Rodriguez Giuseppe

来源：IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(5): 2450-2458.

DOI：10.1109/TGRS.2013.2261303

• 2-D truncated singular value decomposition (TSVD)
• radiometer data
• resolution enhancement

A reconstruction technique, based on the 2-D truncated singular value decomposition, is first proposed to enhance the spatial resolution of radiometer earth observation measurements. The technique is very computer time effective when the kernel is a 2-D tensor product. The key issue regarding the selection of the truncation parameter is addressed by the statistically based generalized cross-validation approach. Experiments undertaken on a data set consisting of both simulated and actual 2-D special sensor microwave imager radiometer measurements show the robustness of the technique against the additive noise and its effectiveness in terms of processing time. A typical 2-D radiometer scene is processed in seconds by a standard PC processor.

• 出版日期2014-5