Title :
On the estimation of radar polarization orientation shifts induced by terrain slopes
Author :
Lee, Jong-Sen ; Schuler, Dale L. ; Ainsworth, Thomas L. ; Krogager, Ernst ; Kasilingam, Dayalan ; Boerner, Wolfgang-Martin
Author_Institution :
Remote Sensing Div., Naval Res. Lab., Washington, DC, USA
fDate :
1/1/2002 12:00:00 AM
Abstract :
In recent studies, D. L. Schuler et al. (2000) applied polarimetric imaging radar-derived orientation angles to measure topography, and J. S. Lee et al. (2000) used orientation angles for polarimetric SAR data compensation, to ensure accurate estimation of geophysical parameters in rugged terrain areas. To support these applications, it is important to accurately estimate shifts in orientation angles induced by the azimuth slope variations. However, in many cases, inconsistency in the estimation of orientation angle shifts was encountered in several areas, introducing noisy and erroneous results. The present authors 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. L-band polarimetric synthetic aperture radar (SAR) images of Camp Roberts, CA, are used to substantiate this theory
Keywords :
geophysical techniques; radar imaging; radar polarimetry; remote sensing by radar; synthetic aperture radar; terrain mapping; topography (Earth); L-band; SAR; circular polarization covariance matrix; circular polarization method; estimation algorithm; geophysical measurement technique; land surface topography; orientation angle; polarimetric imaging; radar polarimetry; radar polarization orientation shift; radar remote sensing; reflection symmetry; rugged terrain; synthetic aperture radar; terrain mapping; terrain slope; Acoustic noise; Algorithm design and analysis; Azimuth; Geophysical measurements; Goniometers; Parameter estimation; Polarization; Radar imaging; Radar polarimetry; Surfaces;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on