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Proceedings Paper

An application of Monte Carlo analyses in terrestrial and close range photogrammetry
Author(s): H. N. Nagaraja
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Paper Abstract

Accuracy estimation is often a necessary requirement in many applications of close range photogrammetry. In general, three methods are available for use. These are: (1). Error propagation by using algebraic expressiOns. (2). Error propagation by using numerical partial differentiation. (3). Error estimation by use of Monte Carlo simulation. All three methods are used in accuracy estimation on a simulated model data in close range photogrammetry. The consistancy of results point to the validity of each procedure, considered individually. Often, the sources of errors due to base and focal length are neglected. The current study indicates that the combined effect is usually significant and hence should not be neglected. An extension of the study into the topic of variance reduction in data analyses is included. In particular, the rather difficult control variable technique is adapte to the close range case. The computer programs developed in this study are being extended to cover stratified sampling and use of complementary random numbers.

Paper Details

Date Published: 1 August 1990
PDF: 8 pages
Proc. SPIE 1395, Close-Range Photogrammetry Meets Machine Vision, 13953W (1 August 1990); doi: 10.1117/12.2294383
Show Author Affiliations
H. N. Nagaraja, Univ. of Nairobi (Kenya)

Published in SPIE Proceedings Vol. 1395:
Close-Range Photogrammetry Meets Machine Vision
Armin Gruen; Emmanuel P. Baltsavias, Editor(s)

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