Comparison of features from SAR and GMTI imagery of ground targets
Copyright © 2003Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. This paper is also available at http://dx.doi.org/ 10.1117/12.487393.
NOTE: At the time of publication, the author Samuel Frame was not yet affiliated with Cal Poly.
We describe an algorithm for class-independent automated target recognition (ATR) and association using range-Doppler images of moving targets and SAR images of stationary targets. This algorithm can be used both for target identification (by comparison against a pre-existing database of measurements of all potential targets) and target association (not requiring a pre-existing database). The algorithm computes a one-dimensional signature for each received range-Doppler image; these signatures are stored in a database for comparison against other detections. The signatures used in our algorithm are range profiles, generated from the clutter-suppressed, filtered image by incoherently integrating the image energy across a number of Doppler bins centered on the target. The result is then normalized, to remove information about the overall cross-section from the profile, and range-aligned with other collected profiles by matching the profile centroids. Statistical models of the profiles are created as the targets are tracked, and newly-created profiles are compared against the existing models by computing the likelihood of the new profile given a particular model.
David Beckman and Samuel J. Frame. "Comparison of features from SAR and GMTI imagery of ground targets" SPIE International Conference on Algorithms for Synthetic Aperture Radar Imagery X Proceedings: Orlando, FL.. Apr. 2003.
Available at: http://works.bepress.com/sframe/1