Multiscale anomaly detection and image registration algorithms for airborne landmine detection
"Multiscale techniques such as the wavelet transform have become a powerful tool for image compression, denoising, and analysis. This thesis outlines the use of such techniques for developing a multiscale processing stream for the purpose of airborne landmine detection. In this work, the Reed-Xiaoli (RX) multi-spectral anomaly detection algorithm is extended to perform detection within the shift-invariant wavelet representation of a given single-band image"--Abstract, leaf iii.
Agarwal, Sanjeev, 1971-
Grow, David E.
Moss, Randy Hays, 1953-
Electrical and Computer Engineering
M.S. in Electrical Engineering
University of Missouri--Rolla
ix, 94 leaves
© 2006 Jeffrey D. Barnes, All rights reserved.
Thesis - Citation
Library of Congress Subject Headings
Image processing -- Mathematical models
Land mines -- Detection
Mines (Military explosives) -- Detection
Print OCLC #
Link to Catalog Record
Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.http://laurel.lso.missouri.edu/record=b5850469~S5
Barnes, Jeffrey D., "Multiscale anomaly detection and image registration algorithms for airborne landmine detection" (2006). Masters Theses. 5895.
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