Adaptive multilooking of airborne Ka-band multi-baseline InSAR data of urban areas

Multilooking is one of the most important processing steps in SAR interferometry. While formerly fixed-size box-car windows have been used, the problem has become less trivial since decimeter resolution sensors have made a detailed analysis of urban areas possible. This paper presents an approach to detect neighborhoods of homogeneous backscattering in airborne multi-baseline InSAR data stacks. Based on these neighborhoods, an adaptive estimation of the covariance matrix as well as multilooking of interferometric phase and coherence become possible.