When the double-Gaussian model of the current wavelet-transform algorithm fits the optimal threshold value of the dry and wet snow classification

it is easily affected by the initial value and has the shortcomings of consuming more time in selecting the typical sample zones.According to the fact

this paper proposed the improved wavelet-transform algorithm for the automatic threshold segmentation

that is

generalized Gaussian model automatically fits the optimal wet and dry snow classification threshold.The algorithm inherits and develops the advantage of ice-sheet freeze-thaw detection

which does not rely on the measured data and achieves the goal of Antarctic ice-sheet monitoring system business more effectively.By comparing and analyzing of the two algorithms

we can see that the improved algorithm improves the computational efficiency

usability and operability in the ice-sheet freeze-thaw detection as well as the accuracy of detection to some extent.