A commonly used estimator for the microtopography of an optical surfac
e is its rms-roughness. Raw surface profile data may contain trending
components. Therefore they should be subjected to a detrending procedu
re before estimating the rms value. This procedure is limited in most
cases to the removal of piston, slope, and curvature. Consequently, un
desired artifacts may arise, which negatively influence the precision
of rms-roughness estimation. In scanning surface metrology, the eigenv
alues and eigenvectors of the covariance matrix of the surface can be
used for a robust and precise multivariate estimation of rms-roughness
.