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Proceedings Paper

A challenge problem for SAR-based GMTI in urban environments
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Paper Abstract

This document describes a challenge problem whose scope is the detection, geolocation, tracking and ID of moving vehicles from a set of X-band SAR data collected in an urban environment. The purpose of releasing this Gotcha GMTI Data Set is to provide the community with X-band SAR data that supports the development of new algorithms for SAR-based GMTI. To focus research onto specific areas of interest to AFRL, a number of challenge problems are defined. The data set provided is phase history from an AFRL airborne X-band SAR sensor. Some key features of this data set are two-pass, three phase center, one-foot range resolution, and one polarization (HH). In the scene observed, multiple vehicles are driving on roads near buildings. Ground truth is provided for one of the vehicles.

Paper Details

Date Published: 28 April 2009
PDF: 10 pages
Proc. SPIE 7337, Algorithms for Synthetic Aperture Radar Imagery XVI, 73370G (28 April 2009); doi: 10.1117/12.823461
Show Author Affiliations
Steven M. Scarborough, Air Force Research Lab. (United States)
Curtis H. Casteel, Air Force Research Lab. (United States)
LeRoy Gorham, Air Force Research Lab. (United States)
Michael J. Minardi, Air Force Research Lab. (United States)
Uttam K. Majumder, Air Force Research Lab. (United States)
Matthew G. Judge, Air Force Research Lab. (United States)
Edmund Zelnio, Air Force Research Lab. (United States)
Michael Bryant, Air Force Research Lab. (United States)
Howard Nichols, BAE Systems (United States)
Douglas Page, BAE Systems (United States)


Published in SPIE Proceedings Vol. 7337:
Algorithms for Synthetic Aperture Radar Imagery XVI
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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