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
RODRIGUEZ, GIUSEPPE
2012-01-01
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.File | Dimensione | Formato | |
---|---|---|---|
2dtsvd12.pdf
Solo gestori archivio
Tipologia:
versione editoriale (VoR)
Dimensione
551.3 kB
Formato
Adobe PDF
|
551.3 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.