A two-dimensional truncated singular value decomposition (TSVD) technique is 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 under- taken on the data set of simulated two-dimensional radiometer measurements show the robustness of the technique and its effectiveness from a processing time viewpoint.
Two-dimensional TSVD resolution enhancement for EO applications / Lenti, F; Migliaccio, Maurizio; Nunziata, Ferdinando; Rodriguez, G.. - In: ATTI DELLA FONDAZIONE GIORGIO RONCHI. - ISSN 0391-2051. - LXVII:1(2012), pp. 81-92.
Two-dimensional TSVD resolution enhancement for EO applications
MIGLIACCIO, Maurizio;NUNZIATA, FERDINANDO;
2012
Abstract
A two-dimensional truncated singular value decomposition (TSVD) technique is 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 under- taken on the data set of simulated two-dimensional radiometer measurements show the robustness of the technique and its effectiveness from a processing time viewpoint.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
