From: 2D-wavelet based micro and macro texture analysis for asphalt pavement under snow or ice condition
Method/Equipment | Description | Measuring parameters | Characteristics |
---|---|---|---|
Sand patch method | Spread sand with a volume of 25 cm3 on the measuring point to form a uniform circle and measure the diameter of the circle. The result is the volume of the sand divided by the spread area. | Mean Texture Depth (MTD) | The method is simple but with large error, and is not suitable for large sample detection. |
The 1-kHz laser scanner | The scanner is capable of measuring texture with wavelength as low as 0.03 mm. | Mean Profile Depth (MPD), Root Mean Square (RMS) | This equipment can be used to evaluate both macro and micro textures. Besides, it allows users to produce repeatable texture parameters and to capture the detailed surface features. |
HandySCAN 300 | The device provides resolutions as clear as 0.100 mm, and precision as high as 0.040 mm. | The coordinates of the 3D data of surface point cloud | High adaptability, high precision, after obtaining the point cloud data, the 3D model can be reconstructed by software. |
Close range (stereoscopic) photogrammetry or microscopic measurement | Based on images captured by a camera or microscope, proprietary software is used to model and analyze them in three dimensions. | Mean Texture Depth (MTD), spectral indicators | the visualization of 3D terrain, Overlay micro texture, macro texture and coarse texture. |
VR-3000 (this paper) | This paper aims to implement a two-dimensional discrete wavelet transform to decompose pavement surface texture at micro and macro scales. | Mean Texture Depth (MTD), Normalized Energy (NE) | Compared with MTD values, the NE values have the advantages of full coverage, full automation and wide analytical scale. |