Texture-based analysis techniques for the classification of radar images

Useful information of radar image interpretation and classification may be derived from a texture-based analysis, since their intrinsic spatial variability or texture is a valuable feature for discrimination among different regions. Four different texture classification algorithms are described. The first two follow a structural approach to texture analysis and are based on the spectral texture properties detected from the Fourier spectrum. The last two are based on statistical texture properties, regarding texture as a two-dimensional random field defined by a suitable autoregressive model. These algorithms have been applied to meteorological images from a dual linear-polarisation radar and provided good results