Useful information for 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. In the paper 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.
Texture-Based Analysis Techniques for the Classification of Radar Images / L. ALPARONE; BENELLI G.; VAGNILUCA A.. - In: IEE PROCEEDINGS. PART F. RADAR AND SIGNAL PROCESSING. - ISSN 0956-375X. - STAMPA. - 137:(1990), pp. 276-282. [10.1049/ip-f-2.1990.0041]