An application of Monte Carlo analyses in terrestrial and close range photogrammetry

H. N. Nagaraja

doi:10.1117/12.2294383

1 August 1990 An application of Monte Carlo analyses in terrestrial and close range photogrammetry

H. N. Nagaraja

Proceedings Volume 1395, Close-Range Photogrammetry Meets Machine Vision; 13953W (1990) https://doi.org/10.1117/12.2294383
Event: Close-Range Photogrammetry Meets Machine Vision, 1990, Zurich, Switzerland

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.

Citation Download Citation

H. N. Nagaraja "An application of Monte Carlo analyses in terrestrial and close range photogrammetry", Proc. SPIE 1395, Close-Range Photogrammetry Meets Machine Vision, 13953W (1 August 1990); https://doi.org/10.1117/12.2294383

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