Geometric distortion reduction techniques and mapping schemes for increasing acoustic imaging accuracy.

摘要

This thesis investigates strategies for mapping the bottom of oceans and lakes within the context of new sonar technology developed in the Underwater Research Lab at Simon Fraser University. Unlike other interferometric-based sonar mapping systems, this new sonar technology is able to accurately estimate the bottom in the presence of multiple scatterers (multi-path). This thesis briefly demonstrates the new sonar's ability to accurately estimate the bottom and then focus on geometric errors that degrade bottom images. Three sources of geometric errors are investigated: refraction, platform motion, and positioning.; Data collected from Pavillon Lake and Loon Lake, BC is used to illustrate the sonar technology's ability for mapping as well as to demonstrate potential error sources. (Abstract shortened by UMI.)