Optimum distortion-invariant filtering algorithm for detecting maritime targets in overlapping and nonoverlapping background noise

Francis Chan; Bahram Javidi

doi:10.1117/12.279457

24 October 1997 Optimum distortion-invariant filtering algorithm for detecting maritime targets in overlapping and nonoverlapping background noise

Francis Chan, Bahram Javidi

Author Affiliations +

Proceedings Volume 3159, Algorithms, Devices, and Systems for Optical Information Processing; (1997) https://doi.org/10.1117/12.279457
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

Abstract

A filter function designed to maximize the peak-to-output-energy metric statically for non- overlapping target and overlapping scene noises is extended for use to detect and identify maritime targets within the framework of an automatic target classifier. The filter is designed to be distortion-invariant with respect to different target aspects. Computer simulations show that the filter can successfully detect the distorted true class targets. A set of tilers constructed using subsets of the true class input images were implemented to discriminate target aspects and shown to have reliable performance.

Citation Download Citation

Francis Chan and Bahram Javidi "Optimum distortion-invariant filtering algorithm for detecting maritime targets in overlapping and nonoverlapping background noise", Proc. SPIE 3159, Algorithms, Devices, and Systems for Optical Information Processing, (24 October 1997); https://doi.org/10.1117/12.279457

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