A challenge problem for SAR change detection and data compression

Steven M. Scarborough; LeRoy Gorham; Michael J. Minardi; Uttam K. Majumder; Matthew G. Judge; Linda Moore; Leslie Novak; Steven Jaroszewksi; Laura Spoldi; Alan Pieramico

doi:10.1117/12.855378

18 April 2010 A challenge problem for SAR change detection and data compression

Steven M. Scarborough, LeRoy Gorham, Michael J. Minardi, Uttam K. Majumder, Matthew G. Judge, Linda Moore, Leslie Novak, Steven Jaroszewksi, Laura Spoldi, Alan Pieramico

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Proceedings Volume 7699, Algorithms for Synthetic Aperture Radar Imagery XVII; 76990U (2010) https://doi.org/10.1117/12.855378
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

This document describes a challenge problem whose scope is two-fold. The first aspect is to develop SAR CCD algorithms that are applicable for X-band SAR imagery collected in an urban environment. The second aspect relates to effective data compression of these complex SAR images, where quality SAR CCD is the metric of performance. A set of X-band SAR imagery is being provided to support this development. To focus research onto specific areas of interest to AFRL, a number of challenge problems are defined. The data provided is complex SAR imagery from an AFRL airborne X-band SAR sensor. Some key features of this data set are: 10 repeat passes, single phase center, and single polarization (HH). In the scene observed, there are multiple buildings, vehicles, and trees. Note that the imagery has been coherently aligned to a single reference.

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Steven M. Scarborough, LeRoy Gorham, Michael J. Minardi, Uttam K. Majumder, Matthew G. Judge, Linda Moore, Leslie Novak, Steven Jaroszewksi, Laura Spoldi, and Alan Pieramico "A challenge problem for SAR change detection and data compression", Proc. SPIE 7699, Algorithms for Synthetic Aperture Radar Imagery XVII, 76990U (18 April 2010); https://doi.org/10.1117/12.855378

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