Explore MATLAB source code curated for "SAR图像" with clean implementations, documentation, and examples.
Implementation of a classic anisotropic diffusion equation-based algorithm for SAR image speckle noise reduction, ready for immediate use with excellent performance. The algorithm utilizes PDE-based diffusion processes with edge-preserving capabilities.
Classification and identification techniques for SAR imagery with MATLAB implementation
Implementation of incoherent Cloude decomposition for SAR images yielding entropy, scattering angle, and anisotropy parameters, followed by synthesis into a three-color composite image for enhanced visualization of polarimetric scattering characteristics.
Lee filter implementation for coherent speckle denoising algorithm, widely applied in SAR image noise reduction with neighborhood statistics-based filtering approach.
An adaptive denoising program for SAR images utilizing NSCT, designed to operate within the NSCT toolkit environment with enhanced noise reduction algorithms.
Methods for computing PSLR and ISLR of SAR image point targets using MATLAB, including implementations for both 1D vectors and 2D matrices with code-specific explanations
Source Code Implementation for Compressive Sensing Methodologies and Applications
Hybrid optimization approach combining Genetic Algorithm and Fuzzy C-Means clustering for Synthetic Aperture Radar (SAR) image classification
Simulation of MRF-based Change Detection Algorithm for SAR Image Analysis