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Proceedings Paper

Methodology for accuracy assessments and verifications in digital photogrammetry
Author(s): George Blaha; Scott C. Sandwith
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Paper Abstract

This paper describes a new methodology verifying the accuracy of photogrammetric networks by known distances between imaged points on scale bars. The analysis presents three issues of photogrammetric accuracy (point, distance, and scale accuracy) together with the issue of scale-bar length accuracy. The latter, in turn, involves the uncertainty in reference length, measured temperature, coefficient of thermal expansion, and centering of targets. The methodology is based on a one-time determination of photogrammetric point accuracy using statistics generated by discrepancies between points in a photogrammetric network and their counterparts determined very reliably by other means. It focuses on geometrically strong networks, where the coordinate standard error is approximately the same for all three coordinates of a typical point. This methodology replaces much lengthier and more expensive numerical procedures, such as a Monte-Carlo technique, by a straightforward statistical analysis. Under stipulated conditions, it can assist users of digital photogrammetry in verifying the performance of their system(s) after each survey.

Paper Details

Date Published: 12 February 2001
PDF: 11 pages
Proc. SPIE 4189, Machine Vision and Three-Dimensional Imaging Systems for Inspection and Metrology, (12 February 2001); doi: 10.1117/12.417205
Show Author Affiliations
George Blaha, Geodetic Services, Inc. (United States)
Scott C. Sandwith, New River Kinematics and Boeing Co. (United States)


Published in SPIE Proceedings Vol. 4189:
Machine Vision and Three-Dimensional Imaging Systems for Inspection and Metrology
Kevin G. Harding; John W. V. Miller; Bruce G. Batchelor, Editor(s)

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