Correlation filters for texture recognition and applications to terrain-discrimination in SAR images

Hemant Singh; Abhijit Mahalanobis; Karl B. Jagler

doi:10.1117/12.169428

1 March 1994 Correlation filters for texture recognition and applications to terrain-discrimination in SAR images

Hemant Singh, Abhijit Mahalanobis, Karl B. Jagler

Proceedings Volume 2237, Optical Pattern Recognition V; (1994) https://doi.org/10.1117/12.169428
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

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.

Citation Download Citation

Hemant Singh, Abhijit Mahalanobis, and Karl B. Jagler "Correlation filters for texture recognition and applications to terrain-discrimination in SAR images", Proc. SPIE 2237, Optical Pattern Recognition V, (1 March 1994); https://doi.org/10.1117/12.169428

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