Paper
15 October 2014 Topography estimation using SAR image polarimetry
Ramin Sabry, Karim E. Mattar
Author Affiliations +
Proceedings Volume 9244, Image and Signal Processing for Remote Sensing XX; 924419 (2014) https://doi.org/10.1117/12.2064667
Event: SPIE Remote Sensing, 2014, Amsterdam, Netherlands
Abstract
Polarization orientation angle (POA) correction to compensate for terrain effects on polarimetric SAR data has been investigated in the literature. POA rotation can be derived from digital elevation model (DEM) and/or from polarimetric SAR (PolSAR) data through covariance/coherency analysis. A robust analytic model connecting PolSAR data and products (e.g., POA) to target/scene terrain characteristics can serve two main objectives. First is to correct and calibrate PolSAR data acquired from different SARs when DEM is available. Second is to model terrain through inverse solution of POAs derived from PolSAR data analysis. This formalism has been developed and is presented here. Effectiveness of the technique in providing both forward (POAs from DEM) and inverse (DEM from POAs) solutions is explored through imagery product examples and simulations.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ramin Sabry and Karim E. Mattar "Topography estimation using SAR image polarimetry", Proc. SPIE 9244, Image and Signal Processing for Remote Sensing XX, 924419 (15 October 2014); https://doi.org/10.1117/12.2064667
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KEYWORDS
Data modeling

Polarimetry

Synthetic aperture radar

Seaborgium

Polarization

Calibration

Data analysis

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