1 research outputs found
Robustified smoothing for enhancement of thermal image sequences affected by clouds
Obtaining radiometric surface temperature information with
both high acquisition rate and high spatial resolution is still
not possible through a single sensor. However, in several earth
observation applications, the fusion of data acquired by different
sensors is a viable solution for so called image sharpening.
A related issue is the presence of clouds, which may impair
the performance of the data fusion algorithms. In this paper
we propose a robustified setup for the sharpening of thermal
images in a non real-time scenario, capable to deal with missing
thermal data due to cloudy pixels, and robust with respect
to cloud mask misclassifications. The effectiveness of the presented
technique is assessed via numerical simulations based
on SEVIRI dat