Title :
2D TSVD to enhance the resolution of radiometer data
Author :
Lenti, F. ; Nunziata, F. ; Migliaccio, M. ; Rodriguez, G.
Author_Institution :
Dipt. di Scienza e Alta Tecnol., Univ. dell´´Insubria, Como, Italy
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.
Keywords :
geophysical techniques; microwave measurement; radiometers; remote sensing; singular value decomposition; 2D TSVD; TSVD-based reslution enhancement technique; additive noise level; antenna gain function; radiometer data resolution enhancement; radiometer earth observation measurements; reconstruction technique; spatial resolution; two-dimensional radiometer measurements; two-dimensional truncated singular value decomposition; Antennas; Brightness; Image reconstruction; Microwave radiometry; Remote sensing; Spatial resolution; Two-dimensional TSVD; radiometer data; resolution enhancement;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352217