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Proceedings Paper

Multiple target detection using a wavelet joint transform processor
Author(s): Mohammad S. Alam; Dylan Chain
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Paper Abstract

An improved multiple target detection technique is proposed by using a wavelet joint transform correlator (JTC). A bank of wavelet filters are generated using the Mexican hat wavelet function which are sequentially superimposed on the joint power spectrum before applying the inverse Fourier transform to yield the correlation output. This technique is found to yield high correlation discrimination for multiple target detection for both binary and grey level input scenes while avoiding the false alarms as well as rejecting the non-target objects. An all-optical implementation for the proposed wavelet JTC technique is also suggested. Computer simulation results are presented to confirm the effectiveness of the proposed technique.

Paper Details

Date Published: 19 July 1999
PDF: 2 pages
Proc. SPIE 3749, 18th Congress of the International Commission for Optics, (19 July 1999); doi: 10.1117/12.355079
Show Author Affiliations
Mohammad S. Alam, Purdue Univ. (United States)
Dylan Chain, Purdue Univ. (United States)

Published in SPIE Proceedings Vol. 3749:
18th Congress of the International Commission for Optics
Alexander J. Glass; Joseph W. Goodman; Milton Chang; Arthur H. Guenther; Toshimitsu Asakura, Editor(s)

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