Sentence examples for estimate surface roughness from inspiring English sources
The four methods are implemented in MATLAB™ to estimate surface roughness parameters – Ra, Rq, and Rz.
The comparison reveals that fusion reconstruction estimates surface roughness closer to stylus profilometer measurements as compared to GLCM, wavelet decomposition and photometric stereo based texture analysis.
Estimating surface roughness or soil moisture by solving the IEM with two unknowns is a classic example of under-determination and is at the core of the problems associated with the use of radar imagery coupled with IEM-like models.
The figures are reproduced from Ref. [31] Figure 8 Evolution of the correlation length through the direction (a) and of the estimated surface roughness W est (b) for the RP and LTR surface patterns at different fluences.
Scanning electron microscopy and atomic force microscopy were used to observe the morphology and estimate the surface roughness of coatings.
SEM and AFM were applied to study the morphology and to estimate the surface roughness of the obtained films.
Another dataset for wind field modeling is land use or land cover, which is used to estimate the surface roughness length.
Based on the visual observations of key biological descriptors such as the density and shape of microvillis, we pursued the quantitative SEM image analyses by estimating cell surface roughness as an approximation to microvilli density/coverage, shape/geometry and length.
The ANN model estimates the surface roughness with high accuracy compared to the multiple regression model.
In addition, we estimated the surface roughness and threading-dislocation pit density for relaxed SiGe layer fabricated by the bonding, dislocation sink, or condensation method.
The ones which we will consider in this paper are land surface temperature from thermal infrared data, surface soil moisture from passive microwave data, snow cover using both visible and microwave data, water quality using visible and near-infrared data and estimating landscape surface roughness using lidar.
