Fractal-based characterization of ocean microwave radiance

Fractal-based techniques are proposed in order to explore the complexity of high-resolution ocean microwave radiometric data. We formulate remote sensing problems and conditions when statistical self-similarity may occur in the field of ocean microwave radiance. It is suggested that the appearance of fractal-like microwave radiometric signals, images, and signatures is associated with nonstationarity and/or nonuniformity of the surface hydrodynamic phenomena. Our concept, methodology, numerical modeling, simulations, and selected results are presented.