Share Email Print

Proceedings Paper

A sub-optimal, yet effective, non-coherent change detection algorithm for multi-look SAR imagery
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

The Army Research Laboratory (ARL) has examined single-polarity, synthetic aperture radar (SAR) data collected in spotlight mode at X band as part of an effort to identify land mines in radar imagery. This data set consisted of several single-polarization, extremely high-resolution, spotlight-mode SAR images from multiple passes over a common target area that included various reference reflectors as well as the landmines. In particular, certain mines were placed in the scene for only a portion of the data collection, creating an opportunity for the investigation of various change detection algorithms. We describe a sub-optimal, yet effective, change detection algorithm based on a Mahalanobis-like distance metric, and we apply it to a recently collected SAR data set.

Paper Details

Date Published: 21 September 2004
PDF: 11 pages
Proc. SPIE 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX, (21 September 2004); doi: 10.1117/12.542230
Show Author Affiliations
Kenneth I. Ranney, Army Research Lab. (United States)
Hiralal Khatri, Army Research Lab. (United States)

Published in SPIE Proceedings Vol. 5415:
Detection and Remediation Technologies for Mines and Minelike Targets IX
Russell S. Harmon; J. Thomas Broach; John H. Holloway, Editor(s)

© SPIE. Terms of Use
Back to Top