Machine Learning-Assisted Analysis of Polarimetric Scattering From Cylindrical Components of Vegetation.

Reliable and efficient analysis of electromagnetic scattering by cylindrical components of vegetation is important for microwave remote sensing of vegetated terrain. In this paper, we proposed a machine learning (ML) scheme for the analysis of polarimetric bistatic scattering from a finite dielectric cylinder. A deep neural network architecture is adopted in the hope that with increased depth of t...