Explore MATLAB source code curated for "SAR" with clean implementations, documentation, and examples.
This resource contains fundamental SAR radar signal processing algorithms implemented in MATLAB, featuring 16 key files including FFT transformations and range compression (crange) modules. These materials provide practical code examples and algorithm explanations particularly beneficial for beginners understanding SAR radar principles.
MATLAB implementation of motion compensation algorithms for Synthetic Aperture Radar (SAR) imaging, providing reference material for SAR researchers and learners
Comprehensive SAR Simulation Toolkit featuring fundamental concepts, signal modeling, echo simulation, and advanced processing capabilities
SAR image simulation for radar system applications, featuring technical discussions on implementation approaches including signal processing algorithms and radar system modeling techniques.
Implementation and analysis of Constant False Alarm Rate (CFAR) detection techniques for target identification in Synthetic Aperture Radar imagery
This SAR simulation program represents significant research investment by our institution, with my graduate thesis focusing specifically on SAR image feature extraction using advanced algorithmic approaches.
Implementation of SAR echo simulation for stationary targets using Range Doppler Algorithm (RDA) for data compression and imaging, including signal processing workflow and MATLAB/Python code structure
MATLAB implementation for SAR point target imaging with signal processing algorithms including range compression, azimuth compression, and image formation techniques
SAR image edge detection operators with concise and executable code implementations.
MATLAB-based simulation of Inverse Synthetic Aperture Radar (ISAR) containing comprehensive source codes for SAR imaging, ISAR imaging, Fourier Transform implementations, and related signal processing algorithms.