A challenge problem for SAR-based GMTI in urban environments

Steven M. Scarborough; Curtis H. Casteel Jr.; LeRoy Gorham; Michael J. Minardi; Uttam K. Majumder; Matthew G. Judge; Edmund Zelnio; Michael Bryant; Howard Nichols; Douglas Page

doi:10.1117/12.823461

28 April 2009 A challenge problem for SAR-based GMTI in urban environments

Steven M. Scarborough, Curtis H. Casteel Jr., LeRoy Gorham, Michael J. Minardi, Uttam K. Majumder, Matthew G. Judge, Edmund Zelnio, Michael Bryant, Howard Nichols, Douglas Page

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Proceedings Volume 7337, Algorithms for Synthetic Aperture Radar Imagery XVI; 73370G (2009) https://doi.org/10.1117/12.823461
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

Citation Download Citation

Steven M. Scarborough, Curtis H. Casteel Jr., LeRoy Gorham, Michael J. Minardi, Uttam K. Majumder, Matthew G. Judge, Edmund Zelnio, Michael Bryant, Howard Nichols, and Douglas Page "A challenge problem for SAR-based GMTI in urban environments", Proc. SPIE 7337, Algorithms for Synthetic Aperture Radar Imagery XVI, 73370G (28 April 2009); https://doi.org/10.1117/12.823461

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