Share Email Print

Proceedings Paper

A challenge problem for SAR change detection and data compression
Author(s): Steven M. Scarborough; LeRoy Gorham; Michael J. Minardi; Uttam K. Majumder; Matthew G. Judge; Linda Moore; Leslie Novak; Steven Jaroszewksi; Laura Spoldi; Alan Pieramico
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 18 April 2010
PDF: 5 pages
Proc. SPIE 7699, Algorithms for Synthetic Aperture Radar Imagery XVII, 76990U (18 April 2010); doi: 10.1117/12.855378
Show Author Affiliations
Steven M. Scarborough, 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)
Linda Moore, Air Force Research Lab. (United States)
Leslie Novak, Scientific Systems Co., Inc. (United States)
Steven Jaroszewksi, Technology Service Corp. (United States)
Laura Spoldi, Technology Service Corp. (United States)
Alan Pieramico, Technology Service Corp. (United States)

Published in SPIE Proceedings Vol. 7699:
Algorithms for Synthetic Aperture Radar Imagery XVII
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

© SPIE. Terms of Use
Back to Top