A reconstruction technique based on the two-dimensional truncated singular value decomposition (TSVD) is first presented to enhance the spatial resolution of radiometer earth observation (EO) measurements. The technique is physically based on the assumption that the antenna gain function is separable. This hypothesis allows implementing a very computer time effective TSVD-based resolution enhancement technique. Experiments undertaken on a data set of both simulated and real two-dimensional radiometer measurements show a) the accurancy of the proposed approach, b) its robustness against the additive noise level, c) its effectiveness in terms of processing time.
2D TSVD to enhance the resolution of radiometer data / Lenti, F.; Nunziata, Ferdinando; Migliaccio, Maurizio; Rodriguez, G.. - (2012), pp. 6091-6094. (Intervento presentato al convegno IGARSS 12 tenutosi a Munich, Germany) [10.1109/IGARSS.2012.6352217].
2D TSVD to enhance the resolution of radiometer data
NUNZIATA, FERDINANDO;MIGLIACCIO, Maurizio;
2012
Abstract
A reconstruction technique based on the two-dimensional truncated singular value decomposition (TSVD) is first presented to enhance the spatial resolution of radiometer earth observation (EO) measurements. The technique is physically based on the assumption that the antenna gain function is separable. This hypothesis allows implementing a very computer time effective TSVD-based resolution enhancement technique. Experiments undertaken on a data set of both simulated and real two-dimensional radiometer measurements show a) the accurancy of the proposed approach, b) its robustness against the additive noise level, c) its effectiveness in terms of processing time.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.