期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：1992
卷号：XXIX Part B2
页码：303-310
出版社：Copernicus Publications
摘要：A procedure for noise and object elimination from automatic correlation data, which uses cubicsplines is proposed. The proposed method consists of approximating cubic splines subject to givenconstraints, over a set of parallel profiles generated from the automatic correlation data. This is performedby varying the values of the given constraints as a function of the residual errors generatedby the approximation function adopted.The performance of the proposed method is evaluated by comparing the results of the cubicspline algorithm and (i) the results of applying a finite element algorithm; and (ii) measurementsover the real surface.
