Lena Image Corrupted with Gaussian Noise
Generation of a Gaussian noise-corrupted Lena image using MATLAB software, followed by processing with T3, T5, Gaussian filtering, and median filtering techniques
Explore MATLAB source code curated for "T3" with clean implementations, documentation, and examples.
Generation of a Gaussian noise-corrupted Lena image using MATLAB software, followed by processing with T3, T5, Gaussian filtering, and median filtering techniques
MATLAB code for converting Radarsat2 polarimetric SAR image data into scattering matrix and coherency matrix T3, including image files extracted and saved using ENVI View software containing real and imaginary components of each channel, along with the lutsigma.xml lookup table file. This carefully developed implementation provides SAR beginners with practical tools for polarimetric data processing.