Shadow Detection in Slope Monitoring Based on Digital Image Processing

Abstract

At present, the traditional slope monitoring technology is relatively backward. Shadow detection has always been the difficulty and focus of this technology in slope monitoring. In recent years, digital image processing technology has been developed rapidly, which provides the possibility to solve this difficult problem. Therefore, this paper proposes the shadow detection research in slope monitoring based on digital image processing. In this paper, the slope monitoring and image digitization technology in our country are deeply studied. The results show that the digital image measurement method has obvious advantages over the traditional slope monitoring method, and has improved the monitoring accuracy, operation difficulty and staff safety. According to the actual needs of shadow detection in slope monitoring, combined with the characteristics of digital image measurement method, the corresponding optimization adjustment is made. A shadow detection algorithm based on saturation is proposed. Compared with the traditional algorithm, the algorithm simplifies the calculation steps and improves the accuracy of calculation. In addition, in order to ensure the detection effect, this paper also establishes the corresponding detection indicators, and evaluates the detection results from the accuracy rate, false alarm rate and missing detection rate. In order to further verify the actual effect of this method, the corresponding comparative experiments are carried out. The experimental results show that the slope shadow detection model based on digital image calculation has higher detection accuracy than the traditional DGM detection model, and is more suitable for the current land environment of slope monitoring in China.