KEYWORDS: Magnetism, Sensors, Magnetic sensors, Reconstruction algorithms, Mining, Unexploded object detection, Data analysis, Superconductors, Data processing, Data acquisition
We present a magnetic detection system based on superconducting gradiometric sensors (SQUID gradiometers). The
system provides a unique fast mapping of large areas with a high resolution of the magnetic field gradient as well as the
local position. A main part of this work is the localization and classification of magnetic objects in the ground by
automatic interpretation of geomagnetic field gradients, measured by the SQUID system. In accordance with specific
features the field is decomposed into segments, which allow inferences to possible objects in the ground. The global
consideration of object describing properties and their optimization using error minimization methods allows the
reconstruction of superimposed features and detection of buried objects. The analysis system of measured geomagnetic
fields works fully automatically. By a given surface of area-measured gradients the algorithm determines within
numerical limits the absolute position of objects including depth with sub-pixel accuracy and allows an arbitrary position
and attitude of sources. Several SQUID gradiometer data sets were used to show the applicability of the analysis
algorithm.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
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.