Abstract:

In order to reduce the serious threat of slope sliding and the geologic disasters they cause to property safety, a novel slope sliding monitoring method was proposed by using a matching algorithm based on the improved Harris corner point detection technique. First, an image processing model for predicting slope sliding displacement was constructed by optimizing the Harris corner point detection; then, based on the calibrated template, the changes in the location of the corner points were monitored to accurately estimate the sliding displacement and track its trajectory, so as to effectively monitor the movement of the slope; finally, a modularized test environment was constructed to monitor slope sliding conditions. The results show that the method reduces the generation of pseudo-corner points in slope monitoring and identification, improves the accuracy and efficiency of corner point detection, and effectively records the tiny sliding of the target in the horizontal, vertical, and inclined directions to form trajectory tracking results.

Key words: corner detection, slope sliding monitoring, feature points, image processing, sliding trajectory