Abstract:
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Determination of atmospheric dynamic characteristics from
remote sensing imagery is fundamental in weather and
climate studies. The SEVIRI radiometer, on board the MSG,
with its 12 bands and 15 minutes sensing capability
provides an important amount of information for cloud
tracking. In this work, we have first conducted a detailed
evaluation of twelve region matching techniques in order to
select those providing the best results. For this performance
evaluation, databases of synthetic and real sequences have
been used. Next, the best metrics have been incorporated in
a new methodology that includes a preliminary stage that
segments cloudy structures to initialize the optimum motion
estimation parameters (template size and search window
dimensions). Also a study region mask is generated to
disable the application of the motion estimation algorithm in
unreliable areas, thus, eliminating erroneous vectors and
decreasing the computation times. |