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Attenuation of the ship tracks

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.