Correlation filters for texture recognition and applications to terrain-delimitation in wide-area surveillance

Terrain-delimitation 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 [1] to design spatial filters to recognize and discriminate between various textures. We extend the technique for delimitation-through-texture-discrimination in SAR images. 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 will be given to illustrate the proposed scheme for terrain-discrimination in SAR images