RIS ID
15482
Abstract
Roughness is a characteristic of a surface that is a function of its geometry. Ultrasonic sensing in air provides range, area, and angle information because the surface geometry determines the characteristics of the echo. The authors introduce the “spatial-angle-filter model” to explain the impact of surface roughness on the echo. On the basis of this model, they design a set of features for use in classifying surfaces. The quality of the features and the classification is measured with the Mahalanobis distance. The resultant system is able to achieve 99.73% classification of a set of 12 surfaces using five features.
Publication Details
This article was originally published as McKerrow, PJ and Kristiansen, BE, This Classifying surface roughness with CTFM ultrasonic sensing, IEEE Sensors Journal, 6(5), October 2006, 1267-1279. Copyright IEEE. Original journal available here.