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We are now half way to a noise-free image. As seen in
Figure , the vessel tracks overwhelm possible
small details at the bottom of the Sea of Galilee. By small
details, we mean objects of 100 meters and more, according to our
bin size. In this section, I propose a strategy based on the
assumption that the inconsistency between tracks comes mainly
from different human and seasonal conditions during the acquisition.
Unfortunately, no record of the weather and the time
of the year the data were acquired is available. I presume that the depth
differences between different acquisition tracks
must be small and relatively smooth in time.
That is why I propose introducing a leaky-integration
operator Claerbout (1992) to model these ``secular'' data variations within
our inversion scheme.