12 November 1981 Algorithms And Hardware Technology For Real-Time Classification And Target Detection Of Military Vehicles
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Proceedings Volume 0281, Techniques and Applications of Image Understanding; (1981) https://doi.org/10.1117/12.965730
Event: 1981 Technical Symposium East, 1981, Washington, D.C., United States
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.
© (1981) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James M. Graziano, James M. Graziano, Grant R. Gerhart, Grant R. Gerhart, Joseph F. Hannigan, Joseph F. Hannigan, } "Algorithms And Hardware Technology For Real-Time Classification And Target Detection Of Military Vehicles", Proc. SPIE 0281, Techniques and Applications of Image Understanding, (12 November 1981); doi: 10.1117/12.965730; https://doi.org/10.1117/12.965730

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