New Line Accuracy Assessment Methodology Using Nonlinear Least-Squares Estimation
Publication: Journal of Surveying Engineering
Volume 134, Issue 1
Abstract
This paper presents a novel line accuracy assessment technique by measuring the offsets of a typical measured line from the true reference line. These measurements are assumed to follow a Gaussian distribution. Buffers of gradually increasing widths, drawn around the true line, are used to measure the magnitudes of line offsets from true locations. A nonlinear least-squares estimation is used to determine the mean and the standard deviation of the line offset. The purpose of the proposed parameter estimation technique is to improve, using the two Gaussian parameters of mean and standard deviation, the line error modeling, and to uncover the physical meaning of the magnitude and variability of line offsets, respectively. The feasibility of the parameter estimation technique is demonstrated by a series of tests that confirm the assumption of a nonzero mean Gaussian distribution. The proposed methodology is expected to provide better insight into the spatial data quality of linear features in geographical information systems.
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Information
Published In
Journal of Surveying Engineering
Volume 134 • Issue 1 • February 2008
Pages: 13 - 20
Copyright
© 2008 ASCE.
History
Received: Aug 21, 2006
Accepted: Feb 5, 2007
Published online: Feb 1, 2008
Published in print: Feb 2008
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