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Proceedings Paper

Registration of SAR and FLIR images for fusion ATR applications
Author(s): Yang Chen
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Paper Abstract

We present an algorithm for SAR and FLIR image registration with the goal of facilitating the matching or association of potential targets detected from both images. Our algorithm is a feature point based approach, therefore the preprocessing is relatively simple. We use available sensor truth information to establish an initial registration, which we argue is a good approximation to the actual one up to a linear translation caused by errors in two parameters in the sensor truth. A generalized Hough transform, or GHT, in 2-D is then used to find the residual translational registration error by finding a maximal set of matching feature points from the SAR and FLIR. The registration transformation is then updated using the set of matching feature points found by GHT. Due to the robustness of GHT to noise in the form of uncorrelated clutter feature points, our algorithm can tolerate a significant level of false alarms in the feature detection process, thereby allowing for simple detection processes to be used and still achieve very high overall target detection rate after the registration process.

Paper Details

Date Published: 16 August 2001
PDF: 8 pages
Proc. SPIE 4380, Signal Processing, Sensor Fusion, and Target Recognition X, (16 August 2001); doi: 10.1117/12.436942
Show Author Affiliations
Yang Chen, HRL Labs. LLC (United States)

Published in SPIE Proceedings Vol. 4380:
Signal Processing, Sensor Fusion, and Target Recognition X
Ivan Kadar, Editor(s)

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