Date of Award

12-1991

Document Type

Thesis

Degree Name

Master of Science

Department

Department of Electrical and Computer Engineering

First Advisor

Philip E. Amburn, Lt Col, USAF

Second Advisor

Paul D. Bailor, PhD

Third Advisor

Martin R. Stytz, PhD

Abstract

This thesis researches methods of generating accurate and realistic polygonal terrain models by reducing gridded sampled terrain elevation data such as DMA DTED. The terrain models generated should be applicable for use in flight simulators and other systems. Existing methods of terrain modeling are discussed, and limitations of these systems are presented. The geostatistical estimation technique known as kriging is presented as a method estimating terrain elevations at locations not provided in DMA DTED or other gridded terrain elevation data. Kriging is an optimal interpolation method based on statistical analysis of the data. It also provides a measure of accuracy, the error variance, that allows some control over the accuracy of the resulting terrain model. This estimation method is employed in a terrain modeling system that builds polygonal terrain models at any resolution. This system is described in this thesis, and the results of terrain modeled both by filtering the DMA DTED and by estimating elevations with kriging are presented. The technique as implemented is computationally very expensive and has therefore limited the results of this thesis effort. Also, terrain models that could be produced appeared smoother than their filtered counterparts. However, kriging still shows promise as a method of estimating terrain elevations for terrain models.

AFIT Designator

AFIT-GCE-ENG-91D-02

DTIC Accession Number

ADA243799

Comments

The author's Vita page is omitted.

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