Radio-wave tomography for geological mapping

Neil Pendock

doi:10.1117/12.160331

15 November 1993 Radio-wave tomography for geological mapping

Neil Pendock

Proceedings Volume 1942, Underground and Obscured Object Imaging and Detection; (1993) https://doi.org/10.1117/12.160331
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

Radio waves may be used to image the electrical properties of rock for geological exploration and mining. The tomographic reconstruction of an attenuation image from radio wave survey data may be formulated as an ill-posed linear inverse problem for which two types of information are usually available: data collected by the remote sensing process and prior information on the expected form of the reconstruction image. The inversion is ill-posed since the data are incomplete and noisy and an inexact simplified linear model of radio wave propagation through rock is assumed. Such inverse problems have many 'solutions' which fit the observed data and we must choose one reconstruction as an answer. Bayesian image estimation provides a consistent framework for reconstructing an image from noisy and in- complete data. We discuss the choice of statistical distributions to represent our prior knowledge of the image to be estimated as well as the likelihood of this image relative to the measured data. We illustrate the approach by presenting rock attenuation and variance estimate images computed for a radio tomography survey in a base metal mine in Namibia.

Citation Download Citation

Neil Pendock "Radio-wave tomography for geological mapping", Proc. SPIE 1942, Underground and Obscured Object Imaging and Detection, (15 November 1993); https://doi.org/10.1117/12.160331

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available