Back to Search Start Over

A challenge problem for SAR change detection and data compression

Authors :
Matthew G. Judge
Alan Pieramico
Steven Jaroszewksi
Leslie M. Novak
LeRoy A. Gorham
Linda J. Moore
Steven Scarborough
Laura Spoldi
Michael J. Minardi
Uttam Majumder
Source :
SPIE Proceedings.
Publication Year :
2010
Publisher :
SPIE, 2010.

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.

Details

ISSN :
0277786X
Database :
OpenAIRE
Journal :
SPIE Proceedings
Accession number :
edsair.doi...........4636527aafc2f647e02f1f46833945bc