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Proceedings Paper

Algorithms And Hardware Technology For Real-Time Classification And Target Detection Of Military Vehicles
Author(s): James M. Graziano; Grant R. Gerhart; Joseph F. Hannigan
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Paper Abstract

This paper addresses the problem of the surveillance and counter-surveillance classification of military vehicles using one-dimensional analysis of the target images. A two-dimensional image is digitized into a n by n pixel matrix which is summed along each row and column to produce a pair of n-component vectors which are invariant under image translation or rotation. The Fourier Transform of this one-dimensional image representation is analogous to the spectra which are produced by the Direct Electronic Fourier Transform (DEFT) acousto-optical real time devices. The digital pixel vector formalism simulates the DEFT device for the purpose of bandwidth extension and signal to noise improvement. Computer algorithms are presented to preprocess the image data for edge enhancement and feature extraction.. This data is further processed to extract a single number which identifies the vehicle image. Results are presented for several different types of the US Army vehicles in a number of distinct background scenarios.

Paper Details

Date Published: 12 November 1981
PDF: 9 pages
Proc. SPIE 0281, Techniques and Applications of Image Understanding, (12 November 1981); doi: 10.1117/12.965730
Show Author Affiliations
James M. Graziano, U.S. Army Tank-Automotive Command (United States)
Grant R. Gerhart, U.S. Army Tank-Automotive Command (United States)
Joseph F. Hannigan, U.S. Army Engineer Topographic Laboratories (United States)

Published in SPIE Proceedings Vol. 0281:
Techniques and Applications of Image Understanding
James J. Pearson, Editor(s)

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