We present a novel approach to enhance the spatial resolution of microwave data collected by meso-scale sensors. The proposed rationale is based on an L p -penalization approach with a variable exponent p, ranging in the interval [1.5,2]. This allows taking benefits of the advantages of both Hilbert and Banach spaces. Preliminary experiments undertaken using simulated and actual radiometer data confirm the effective improvement in the signal reconstruction by using this approach with respect to conventional Hilbert and Banach-space methods.
Spatial resolution enhancement of microwave data using a L p -penalization approach with variable P / Alparone, M.; Nunziata, F.; Estatico, C.; Lenti, F.; Migliaccio, M.. - 2018-:(2018), pp. 1032-1035. ( 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 esp ) [10.1109/IGARSS.2018.8518113].
Spatial resolution enhancement of microwave data using a L p -penalization approach with variable P
Nunziata F.;Migliaccio M.
2018
Abstract
We present a novel approach to enhance the spatial resolution of microwave data collected by meso-scale sensors. The proposed rationale is based on an L p -penalization approach with a variable exponent p, ranging in the interval [1.5,2]. This allows taking benefits of the advantages of both Hilbert and Banach spaces. Preliminary experiments undertaken using simulated and actual radiometer data confirm the effective improvement in the signal reconstruction by using this approach with respect to conventional Hilbert and Banach-space methods.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
