Study and Applications of POLSAR Data Time-Frequency Correlation Properties

This article presents a new approach for the study of PolSAR images using Time-Frequency (TF) correlation properties . PolSAR information is analyzed using a linear time-frequency (TF) decomposition which permits to describe a scene polarimetric behavior for different azimuth angles of observation and frequencies of illumination. A TF signal model is proposed and studied using two statistical descriptors related to the signal stationary aspect and coherence in the time-frequency domain. These indicators are shown to provide complementary information for an enhanced description of the scene. A TF based classification is proposed and applied to fully polarimetric SAR data acquired by the ESAR sensor at Lband. Finally, some description of PolSAR data TF correlation properties are proposed and commented.