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Proceedings Paper

Detection and tracking of prominent scatterers in SAR data
Author(s): Benjamin Shapo; Mark Stuff; Christopher Kreucher; Ron Majewski
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Paper Abstract

Tracking prominent scatterers provides a mechanism for scene-derived motion compensation of Synthetic Aperture Radar (SAR) data. Such a process is useful in environments where GPS is unavailable and a lack of precise sensor position data makes standard motion compensation difficult. Our approach to sensor positioning estimates range histories of multiple isolated scatterers with high accuracy, then performs a geometric inversion to locate the scatterers in three dimensions and estimate the platform's motion. For high-accuracy scatterer range tracking, we first detect prominent scatterers using a CFAR criterion automatic algorithm and then track them with a two-input Kalman Filter (KF) operation. These two steps provide accurate range estimates of multiple scatterers over a sequence of SAR pulses. The KF state space is range and range-rate. We derive data inputs to the KF algorithm from multiple SAR pulses, divided into Coherent Processing Intervals (CPI). Within each CPI, individual scatterer peak amplitudes and phases are available to the algorithm. Our approach to scene-derived motion compensation combines the high accuracy range history estimates with a novel three-dimensional geometric inversion. This geometric inversion uses the range histories to estimate both 3D scatterer location and 3D relative motions of the radar. We illustrate our KF-based approach to high-accuracy tracking and demonstrate its application to estimating scene scatterer locations on synthetic and real collected SAR data.

Paper Details

Date Published: 3 May 2012
PDF: 11 pages
Proc. SPIE 8394, Algorithms for Synthetic Aperture Radar Imagery XIX, 83940G (3 May 2012); doi: 10.1117/12.919250
Show Author Affiliations
Benjamin Shapo, Integrity Applications, Inc. (United States)
Mark Stuff, Michigan Tech Research Institute (United States)
Christopher Kreucher, Integrity Applications, Inc. (United States)
Ron Majewski, Integrity Applications, Inc. (United States)


Published in SPIE Proceedings Vol. 8394:
Algorithms for Synthetic Aperture Radar Imagery XIX
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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