Analysis and statistical characterization of interferometric SAR signals based on the power spectral density function

Interferometric signal analysis is applied in many fields including filtering, parameter estimation, and interferogram processing optimization. Sample applications include the determination of terrain and orbit parameters, interferogram phase estimation, and optimal processing of synthetic aperture radar (SAR) interferograms. In this communication, the relevance of the power spectral density to interferometric SAR mode exploration and interferogram multilooking or filtering is discussed. The interferometric SAR modes include strip-map, scansar, and spotlight. For the verification of the multilooking characteristics of SAR interferograms, two frequently used filters serve as empirical reference. Based on a simplified interferometric system model and Guassian distributed scatterers, the power spectral density description is developed.