Paper
21 September 2004 A sub-optimal, yet effective, non-coherent change detection algorithm for multi-look SAR imagery
Author Affiliations +
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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kenneth I. Ranney and Hiralal Khatri "A sub-optimal, yet effective, non-coherent change detection algorithm for multi-look SAR imagery", Proc. SPIE 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX, (21 September 2004); https://doi.org/10.1117/12.542230
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Cited by 3 scholarly publications.
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KEYWORDS
Synthetic aperture radar

Detection and tracking algorithms

Mining

Image processing

Algorithm development

Land mines

Target detection

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