MATLAB Code Implementation for Polarimetric SAR Pauli Decomposition
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In the San Francisco area, polarimetric SAR technology enables the generation of RGB composite images through Pauli decomposition. Polarimetric SAR is an advanced remote sensing technique that analyzes the polarization information of radar wave reflections to provide richer ground object information. Pauli decomposition is a widely used polarimetric SAR data processing method that decomposes polarimetric SAR data into scattering mechanism components, enabling more detailed image analysis and interpretation. The MATLAB implementation typically involves processing the scattering matrix data using the Pauli basis decomposition approach, where the RGB channels are assigned to different scattering mechanisms: double-bounce (red), volume scattering (green), and surface scattering (blue). Key functions in the implementation may include matrix transformation, eigenvalue decomposition, and color mapping algorithms to visualize the decomposition results effectively.
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