Application of 2D Wavelets in DEM Denoising of Multi-scale Mine Subsidence
In order to better study the subsidence pattern of mine area, this paper proposes a 2D wavelet analysis to denoise the multi-scale mine area subsidence DEM for the problem of containing more errors in the DEM. Firstly, the basic process of 2D wavelet de-noising is described, and each characteristic and parameter setting of 2D wavelet is analyzed and discussed, and the DEM with scales of 0.5 m, 1 m, 5 m and 10 m are obtained by interpolation of two-phase point clouds to generate mine subsidence DEM. In order to prove the effectiveness of the method, the denoising effect is verified by analyzing the change trend of the observation line of the main section and calculating the error index. The results show that 2D wavelet denoising method can weaken the noise errors in the mine subsidence DEM and make the denoised mine subsidence basin close to the real basin, which is of high application value for the study of mine subsidence monitoring and subsidence law.
万方数据
维普
