1 March 1994 Correlation filters for texture recognition and applications to terrain-discrimination in SAR images
Author Affiliations +
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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hemant Singh, Hemant Singh, Abhijit Mahalanobis, Abhijit Mahalanobis, Karl B. Jagler, 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); doi: 10.1117/12.169428; https://doi.org/10.1117/12.169428
PROCEEDINGS
12 PAGES


SHARE
Back to Top