MATLAB Implementation of Pauli Decomposition with RGB Visualization

This project demonstrates the implementation of Pauli decomposition using MATLAB, with results displayed in RGB format for enhanced polarimetric SAR data visualization. The implementation involves processing polarimetric covariance matrices to extract Pauli components, which are then mapped to RGB color channels for intuitive interpretation. Key implementation steps include: 1. Loading and preprocessing polarimetric SAR data (typically in covariance or coherency matrix format) 2. Performing Pauli decomposition using matrix operations to extract scattering mechanisms 3. Normalizing the decomposition results for proper color mapping 4. Assigning Pauli components to RGB channels (typically: odd-bounce->Red, double-bounce->Green, volume->Blue) 5. Generating and displaying the RGB composite image The core algorithm involves computing the Pauli decomposition components through matrix transformations and eigenvector analysis. Key MATLAB functions used may include matrix operations, color mapping functions, and image display utilities. The implementation ensures proper scaling and contrast enhancement for optimal visualization of different scattering mechanisms in polarimetric SAR data. The RGB display provides an intuitive way to interpret complex polarimetric information, where different colors represent dominant scattering mechanisms in the observed terrain.