Syntactic pattern recognition for HRR signatures

Raj K. Bhatnagar; Robert L. Williams; Vijay Tennety

doi:10.1117/12.396356

24 August 2000 Syntactic pattern recognition for HRR signatures

Raj K. Bhatnagar, Robert L. Williams, Vijay Tennety

Proceedings Volume 4053, Algorithms for Synthetic Aperture Radar Imagery VII; (2000) https://doi.org/10.1117/12.396356
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

A classifier based on a syntactic approach is developed for High range resolution (HRR) radar target recognition. An attribute grammar is used to represent the structure of an HRR signature and an error-correcting parsing mechanism is implemented to extract peaks in the HRR profile and suppress the extraneous spikes. In the training phase, an error correcting grammatical inference technique is employed for structural inference of HRR signatures using a positive sample set. Recognition is done using a minimum distance classifier where Levenshtein error measure is used as the distance metric. The error-correcting parsing procedure for peak extraction is used to perform both inference and recognition. Experiments performed using public release MSTAR database indicate that this approach has sufficient discrimination power to perform target detection in HRR signatures.

Citation Download Citation

Raj K. Bhatnagar, Robert L. Williams, and Vijay Tennety "Syntactic pattern recognition for HRR signatures", Proc. SPIE 4053, Algorithms for Synthetic Aperture Radar Imagery VII, (24 August 2000); https://doi.org/10.1117/12.396356

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