Studies of the Polarimetric Covariance Matrix. Part II: Modeling and Polarization Errors
نویسندگان
چکیده
A polarimetric radar covariance matrix model is described to study the behavior of the co-to-cross covariances in precipitation. The 2 3 2 propagation matrix with attenuation, differential attenuation, and differential phase is coupled to the backscatter matrix leading to a propagation-modified covariance matrix model. System polarization errors are included in this model as well. This model is used to study the behavior of the magnitude and phase of the co-to-cross covariances and the linear depolarization ratio (LDR) in rainfall. It is shown that the model predictions are consistent with data collected with the Colorado State University (CSU)–University of Chicago–Illinois State Water Survey (CHILL) radar in intense rainfall. A method is also given for estimating the system polarization errors from covariance matrix data collected in intense rainfall.
منابع مشابه
Improvement of Biomass Estimation in Forest Areas based on Polarimetric Parameters Optimization of SETHI airborne Data using Particle Swarm Optimization Method
Estimation of forest biomass has received much attention in recent decades. Airborne and spaceborne (SAR) have a great potential to quantify biomass and structural diversity because of its penetration capability. Polarizations are important elements in SAR systems due to sensitivity of them to backscattering mechanisms and can be useful to estimate biomass. Full Polarimetric Synthetic Aperture ...
متن کاملPolarimetric Scattering Model for Multilayered Vegetation in Tropical Forest
DISCLAIMER This document describes work undertaken as part of a programme of study at the Faculty of Geo-Information Science and Earth Observation of the University of Twente. All views and opinions expressed therein remain the sole responsibility of the author, and do not necessarily represent those of the Faculty. Dedicated to my loving mom and dad i ABSTRACT This research concentrates on und...
متن کاملRetrieval of Volume Scatterer Information Using Three-component Decompostion Model, Based on Compact Polarimetry
DISCLAIMER This document describes work undertaken as part of a programme of study at the Faculty of Geo-Information Science and Earth Observation of the University of Twente. All views and opinions expressed therein remain the sole responsibility of the author, and do not necessarily represent those of the Faculty. i " Let my urge for triumph in life be dedicated to those who made me " realize...
متن کاملPrincipal Component Analysis for Change Detection on Polarimetric Multitemporal SAR Data
Principal component analysis (PCA) is applied to investigate on changes occurring in multitemporal polarimetric SAR imagery. Correlation instead of covariance matrix is used in the transformation, thus reducing gain variations introduced by the imaging system and giving equal weight to each polarization. The approach is effective when PCA is computed on images rccordcd simultaneously, as well a...
متن کاملA Review of Polarization Orientation Estimation from Polarimetric SAR Data
In this paper, we review estimation algorithms and applications of polarization orientation angle induced by terrain slopes. We develop a unified analysis of estimation algorithms based on the circular polarization covariance matrix. The concept of reflection symmetry is used to explain the soundness of the circular polarization method, and to show problems associated with other algorithms. The...
متن کامل