Multiple target detection using a wavelet joint transform processor

Mohammad S. Alam; Dylan Chain

doi:10.1117/12.355079

19 July 1999 Multiple target detection using a wavelet joint transform processor

Mohammad S. Alam, Dylan Chain

Proceedings Volume 3749, 18th Congress of the International Commission for Optics; (1999) https://doi.org/10.1117/12.355079
Event: ICO XVIII 18th Congress of the International Commission for Optics, 1999, San Francisco, CA, United States

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.

Citation Download Citation

Mohammad S. Alam and Dylan Chain "Multiple target detection using a wavelet joint transform processor", Proc. SPIE 3749, 18th Congress of the International Commission for Optics, (19 July 1999); https://doi.org/10.1117/12.355079

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