L. Bannehr et al., A FUNCTIONAL ANALYTIC METHOD TO DERIVE DISPLACEMENT VECTOR-FIELDS FROM SATELLITE IMAGE SEQUENCES, International journal of remote sensing, 17(2), 1996, pp. 383-392
Over the past 20 years the maximum cross-correlation method has been e
mployed both operationally and for research in geophysical sciences. S
ome weaknesses of the well-understood and established technique have r
emained, which suggest that a non statistical approach is required to
overcome these deficiencies. Presently a new functional analytic appro
ach is adopted from computer vision to derive displacement vector fiel
ds from satellite image sequences. Case studies of artificially create
d images with defined motion patterns as well as displacement vector f
ields derived from Meteosat water vapour pictures and NOAA-AVHRR sea s
urface temperature pictures reveal the applicability of the method. Du
e to the basic constraints, the method is particularly suitable for fu
zzy greyvalue structures. Nevertheless, modifications concerning the a
tmospheric and oceanographic kinematics are still required to allow al
so strong shear flow to be accounted for.