Searching the Sea of Galilee
The splendors and miseries of iteratively reweighted least squares

Sergey Fomel and Jon F. Claerbout

sergey@sep.stanford.edu, jon@sep.stanford.edu

As the former time made light the land of Zebulun and the land of Naphtali, so the latter hath honoured the way of the sea, beyond the Jordan, Galilee of the nations. Isaiah 9:1

ABSTRACT

We applied the inverse linear interpolation method to process a bottom sounding survey data set from the Sea of Galilee in Israel. Non-Gaussian behavior of the noise led us to employ a version of the iteratively reweighted least squares (IRLS) technique. The IRLS enhancement of the method was able to remove the image artifacts caused by the noise at the cost of a loss in the image resolution. Untested alternatives leave room for further research.