The surface roughness at micro/nano scale is essential in the quality of the optical surface. In quantitative
characterization of the roughness surfaces, SPM instruments are widely used due to its ultra-high resolution and powerful
performance. However, drift inevitably exist in SPM measurement and it can distort the quantitative characterization. To
evaluate the SPM measurements of roughness surface more accurately, both the influence discipline of drift on random
surface measurement and the development of effective correction methods need to be studied. Toward this purpose, SPM
imaging of roughness surface with the presence of drift is simulated and influence discipline to roughness surface
parameters was analyzed. Besides, counter-scanning correction method based on identification and matching of feature
points was used to correct the roughness surface. Both simulation and experiment verified the effectiveness of the
employed method. Experimental verification was conducted using roughness reference specimen with specially designed
and processed structural parameters.
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