Title :
Enhancing TIR image resolution via Interacting Sequential Bayesian Estimation
Author :
Addesso, Paolo ; Longo, Maurizio ; Restaino, Rocco ; Vivone, Gemine
Author_Institution :
Dept. of Inf. Eng., Electr. Eng. & Appl. Math. (DIEM), Univ. of Salerno, Fisciano, Italy
Abstract :
The continuous time monitoring of the radiometric surface temperature by means of high spatial resolution images is desirable in agricoltural applications, such as irrigation management. Since the requirement of high spatial and temporal resolutions can hardly be met by a single sensor, we resort to a fusion strategy of data from multiple sensors. Specifically we consider the Interacting Sequential Bayesian Estimation strategy, as it is able to deal with the sudden changes observed in the temperature dynamics. The method has been validated on SEVIRI TIR real data, properly spatially degraded in order to mimic sensors with different characteristics.
Keywords :
Bayes methods; atmospheric techniques; environmental monitoring (geophysics); geophysical image processing; hydrological techniques; image enhancement; image fusion; image resolution; infrared imaging; irrigation; land surface temperature; radiometry; water resources; Italy; SEVIRI TIR real data; Sardinia Island; TIR image resolution enhancement; agricultural applications; continuous time monitoring; data fusion strategy; high spatial resolution images; interacting sequential Bayesian estimation; irrigation management; multiple sensors; radiometric surface temperature; temperature dynamics; temporal resolution; wavelength 10.8 mum; Bayes methods; Equations; Land surface; Mathematical model; Remote sensing; Spatial resolution; Bayesian Filtering; Irrigation Management; Multitemporal Analysis; Thermal Sharpening;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723484
