Modern Mathematical Modelling Approaches for Optimized Estimation of Surface, Double Bounce and Volumetric Scattering Using Polarimetric Orientation Angle and Inclination Angle
- Resource Type
- Conference
- Authors
- Khan, Farhan Hai; Misra, Nirmalya; Halder, Tamesh; Gayen, Rintu Kumar; Misra Roy, Arundhati; Chakravarty, Debashish
- Source
- 2021 IEEE International India Geoscience and Remote Sensing Symposium (InGARSS) Geoscience and Remote Sensing Symposium (InGARSS), 2021 IEEE International India. :549-552 Dec, 2021
- Subject
- Aerospace
Computing and Processing
Fields, Waves and Electromagnetics
Geoscience
Signal Processing and Analysis
Technological innovation
Radar remote sensing
Computational modeling
Urban areas
Scattering
Stochastic processes
Radar scattering
Polarimetric Orientation Angle Estimation
Overestimation
Underestimation
Stochastic Distances
Hellinger Distance
Renyi-Beta Divergence
Synthetic Aperture Radar Polarimetry
Extended Bragg’s Surface Scattering Model
- Language
This study aims at estimating surface, double bounce, and volumetric scattering by approximation of the Polarimetric Orientation Angle (POA) and the inclination angle. This research attempts to analyze the stochastic distance formulae for compensating the POA angle. Better normalization of double bounce scattering underestimation and volumetric scattering overestimation of the unrotated coherency matrix is achieved using this technique. Comparing the results obtained from: (i) Hellinger distance and (ii) Renyi Divergence of order β, we then estimate surface scattering by modifying the extended Bragg’s surface scattering model. A summarized overview of the time complexity of each distance is provided and studied in detail.