Share Email Print

Proceedings Paper

Efficient approach to physics-based FOPEN-SAR ATD/R
Author(s): Mark R. Allen
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

A physics-based approach to VHF/UHF foliage penetrating (FOPEN) SAR automatic target detection and recognition (ATD/R) uses signatures constructed directly from physical scattering predictions in a sequence of matched filter banks that span the complex angle-frequency-polarimetric observation space. While the matched filter can be made efficient using FFTs, the primary means of achieving overall algorithm efficiency is through the sequential testing. Physics-based sequential testing achieves efficiency by matching the modeling complexity in each step to its increasing level of recognition, while using parameter estimates from previous setups to limit the number of signatures under test. This keeps the total number of signatures tested from increasing geometrically as the ATR search dimensionality is increased to achieve higher levels of recognition. Since each step in the sequence is performed on a smaller portion of surviving data, most of the computation usually lies in the initial detection of man- made objects in forest clutter. In this paper, computational efficiency is compared between various architectures which differ in their use of a matched filter image formation screener. This screener may save up to 16 dB in detection, and 3 dB in image formation, processing requirements.

Paper Details

Date Published: 10 June 1996
PDF: 10 pages
Proc. SPIE 2757, Algorithms for Synthetic Aperture Radar Imagery III, (10 June 1996); doi: 10.1117/12.242033
Show Author Affiliations
Mark R. Allen, Science Applications International Corp. (United States)

Published in SPIE Proceedings Vol. 2757:
Algorithms for Synthetic Aperture Radar Imagery III
Edmund G. Zelnio; Robert J. Douglass, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?