Fundamental processing techniques for automatic target detection

Gerald N. Gilbert

doi:10.1117/12.359978

24 August 1999 Fundamental processing techniques for automatic target detection

Gerald N. Gilbert

Proceedings Volume 3718, Automatic Target Recognition IX; (1999) https://doi.org/10.1117/12.359978
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

We present a fundamental approach to the processing of signals for the detection of targets immersed in clutter in any type of digitized image (synthetic aperture radar, optical, acoustical, etc.), analogous to the standard theory of target detection for pulsed radars, with applications to aided target recognition (ATR). Expanding upon recent results of DiPietro and Fante, we derive a new ATR detection probability function analogous to the Swerling Type-4 detection probability function of pulsed-radar detection theory. We carry out a comparative theoretical and numerical analysis of the single- look and single-pulse probabilities of detection of targets in the general ATR and pulsed-radar cases, and also provide a comparative analysis of the noncoherent integration of multiple samples of image data in the ATR and pulsed-radar cases. We derive expressions for the binary integration of all single-look ATR detection probabilities, and perform a comparative theoretical and numerical analysis of the performance characteristics of binary integration versus noncoherent integration. A detailed numerical analysis of the optimization of parameters for peak ATR binary integration performance in low-resolution and/or low signal-to-clutter ratio images is performed, and a comparative analysis of optimization of parameters for the pulsed-radar theory in low signal-to-noise ratio environments is carried out.

Citation Download Citation

Gerald N. Gilbert "Fundamental processing techniques for automatic target detection", Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); https://doi.org/10.1117/12.359978

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