New approach to parametric HRR signature modeling for improved 1D ATR

Bradley S. Denney; Rui J. P. de Figueiredo; Robert L. Williams

doi:10.1117/12.396349

24 August 2000 New approach to parametric HRR signature modeling for improved 1D ATR

Bradley S. Denney, Rui J. P. de Figueiredo, Robert L. Williams

Proceedings Volume 4053, Algorithms for Synthetic Aperture Radar Imagery VII; (2000) https://doi.org/10.1117/12.396349
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

Model-based HRR signature prediction and matching is a difficult problem due to target variations, lack of model fidelity, and sensor variations. For this reason, model-based HRR signatures often mismatch actual measured signatures. This paper introduces a novel method for predicting signatures by creating a Parametric HRR signature model from existing measured or model-based signatures. The method identifies potential three-dimensional persistent virtual scatterers and estimates their scattering patterns. The result is a parametric signature function of azimuth which better matches available signature data. The model effectively smoothes the signatures along the scatterer tracks. When used with synthetic data the technique helps eliminate model inaccuracies and uncertainties which manifest themselves in scatterer interference predictions. With sparse measured HRR profile observations, the parametric method smoothly interpolates profiles over azimuth. The parameterization method is aided by a Modified Inverse Radon Transform for persistent scatterer localization and a Fourier decomposition for scattering pattern approximation. Results using the predicted synthetic signatures in ATR multi-class problem are presented and compared with the performance based on the original synthetic and measured signatures. Results from these experiments show that this method provides a modest increase in ATR performance for synthetic signatures. The performance with sparse measured data is greatly improved and approaches dense measured data performance.

Citation Download Citation

Bradley S. Denney, Rui J. P. de Figueiredo, and Robert L. Williams "New approach to parametric HRR signature modeling for improved 1D ATR", Proc. SPIE 4053, Algorithms for Synthetic Aperture Radar Imagery VII, (24 August 2000); https://doi.org/10.1117/12.396349

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available