Abstract
Sidescan imaging sonar performance is often described using metrics such as resolution, maximum range, and area coverage rate. These attributes alone cannot completely characterize image quality. Shadow regions often carry as much, and sometimes even more, information than the direct return from a target. The shadow contrast ratio is an important metric of image quality, and it includes contributions from the sonar hardware, the environment, and the signal processing. This presentation provides an overview of a comprehensive quantitative model for predicting the contrast ratio. This analysis of image quality has significant implications for system design, mission planning, and data processing. Key design and processing tradeoffs are highlighted using design parameters typical for high-frequency synthetic aperture sonar applications.
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