Maximization of the degree of polarization to estimate the polarization orientation angle from PolSAR data: An insight into the real and complex rotation of the coherency matrix
Avik Bhattacharya

TL;DR
This paper introduces a novel method to estimate the polarization orientation angle in PolSAR data by maximizing the degree of polarization, improving target characterization and classification accuracy.
Contribution
A new approach based on polarization maximization is proposed to accurately estimate the orientation angle from PolSAR data, accounting for real and complex rotations.
Findings
The method effectively estimates the orientation angle in various terrains.
It reveals the relationship between polarization degree and orientation angle shifts.
The approach enhances target analysis in PolSAR imaging.
Abstract
The angle of rotation of any target about the radar line of sight (LOS) is known as the polarization orientation angle. The orientation angle is found to be non-zero for undulating terrains and man-made targets oriented away from the radar LOS. This effect is more pronounced at lower frequencies (eg. L- and P- bands). The orientation angle shift is not only induced by azimuthal slope but also by range slope. This shift increases the cross-polarization (HV) intensity and subsequently, the covariance or the coherency matrix becomes reflection asymmetric. Compensating this orientation angle prior to any model-based decomposition technique for geophysical parameter estimation or classification is crucial. In this paper, a new method is proposed to estimate the orientation angle based on the maximization of the degree of polarization. The proposed method is then used to infer the change in…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSynthetic Aperture Radar (SAR) Applications and Techniques · Advanced SAR Imaging Techniques · Geophysical Methods and Applications
