Wolfgang-M. Boerner

TL;DR: The present authors develop a unified analysis of estimation algorithms based on the circular polarization covariance matrix, using L-band polarimetric synthetic aperture radar (SAR) images of Camp Roberts, CA, to substantiate this theory.

TL;DR: In this paper, it was shown that due to the vector nature of electromagnetic waves, electromagnetic remote sensing and inverse scattering techniques, if applied rigorously, require incorporation of polarization information into their formulation.

TL;DR: A method is proposed, which eliminates the influence of azimuthal backscattering variations in conventional polarimetric SAR data analysis, and allows to clearly discriminate media showing a nonstationary behavior during the SAR integration.

TL;DR: The experimental results demonstrate the excellent polarimetric performance of the newly developed SAR imaging system, which should find many useful and immediate applications in noninvasive ground-truth validation of diverse terrestrial vegetation covers.

TL;DR: Inverse Methods in Electro Magnetic Imaging (IMEI-1983) as discussed by the authors was the first Workshop on Inverse Methods for Electromagnetic Imaging (IME), which brought together internationally renowned key experts of this new scientific discipline and have them prepare well-written overviews, treatises on new areas, papers on special topics.