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Proceedings Paper

Correlation filters for texture recognition and applications to terrain-discrimination in SAR images
Author(s): Hemant Singh; Abhijit Mahalanobis; Karl B. Jagler
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Paper Abstract

Terrain-discrimination is an important component of wide-area surveillance, with applications to battlefield terrain and agricultural terrain. Recently a statistical method was proposed by Mahalanobis and Singh to design spatial filters to recognize and discriminate between various textures. We apply this technique to texture discrimination in SAR images. It is demonstrated that the technique is a viable one and its robustness for terrain discrimination in SAR imagery is shown. Spatial correlation filters are used for texture distinction. The filters are implementable as optical (or digital) correlators for fast real-time texture recognition without segmentation. The filter coefficients are determined via eigenvector analysis. Examples for airborne SAR images are given to illustrate the proposed scheme for terrain discrimination.

Paper Details

Date Published: 1 March 1994
PDF: 12 pages
Proc. SPIE 2237, Optical Pattern Recognition V, (1 March 1994); doi: 10.1117/12.169428
Show Author Affiliations
Hemant Singh, Aware, Inc. (United States)
Abhijit Mahalanobis, Hughes Missile Systems Co. (United States)
Karl B. Jagler, Aware, Inc. (United States)

Published in SPIE Proceedings Vol. 2237:
Optical Pattern Recognition V
David P. Casasent; Tien-Hsin Chao, Editor(s)

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