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Proceedings Paper

Texture anomaly detection in radar imagery
Author(s): David Blacknell
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Paper Abstract

A radar image of the land or sea will contain extended regions of apparently homogeneous textures. However, such regions may contain subtle texture anomalies which indicate the presence of a feature of interest. For this reason, it is important to develop methods of detecting anomalies in textured regions. A strategy for texture anomaly detection is to estimate the multivariate probability density function (PDF) of a texture segment using the whole homogeneous region as training data and then to calculate the likelihood of occurrence of each individual segment within the region given the PDF estimate. Those texture segments with anomalous likelihood values can then be flagged as potential texture anomalies. A crucial element of this strategy is the procedure by which the PDF is estimated.

Paper Details

Date Published: 21 December 1994
PDF: 12 pages
Proc. SPIE 2316, SAR Data Processing for Remote Sensing, (21 December 1994); doi: 10.1117/12.197532
Show Author Affiliations
David Blacknell, Defence Research Agency Malvern (United Kingdom)

Published in SPIE Proceedings Vol. 2316:
SAR Data Processing for Remote Sensing
Giorgio Franceschetti, Editor(s)

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