Bootstrap method for maximum likelihood displacement estimation of glaciers surface

This paper proposes a way of improvement of the ML texture tracking method using bootstrap sampling. A quality factor is introduced to measure the accuracy of estimation. It is based on both statistics and image processing. The bootstrap sampling uses the initial information for generating additional samples in order to enhance the available information. Some results on particular areas of a glacier are presented.