Reading Complex SAR Images with Computational Implementation
Capability to read complex-valued SAR imagery with data processing workflow description
Polarimetric SAR Image Processing
A program for color synthesis in polarimetric SAR image processing that combines data from three different polarization channels to create composite color images, implementing RGB channel mapping techniques
Modeling of Vertical Surface Targets in Synthetic Aperture Radar (SAR)
Modeling of Vertical Surface Targets in Synthetic Aperture Radar (SAR) - Implementation Approaches and Algorithm Considerations
Simulation of SAR Synthetic Aperture Radar Imaging Principles
Point Target Image Processing Program for SAR Synthetic Aperture Radar Imaging Simulation
SAR Linear Frequency Modulated Signal Pulse Compression Simulation
SAR Linear Frequency Modulated Signal Pulse Compression Simulation, including the impact of time-domain windowing on sidelobe levels in pulse-compressed signals!
SAR and Polarimetric SAR Information Processing Programs
High-quality programs for SAR and polarimetric SAR information processing. Includes Cloude.m for computing H/alpha parameters in classical Cloude decomposition, classes.m implementing the complete Cloude decomposition method, and myCFAR.m featuring three CFAR target detection algorithms for SAR images: Global CFAR, Local CFAR, and Exponential CFAR.
Stripmap SAR: The Most Prevalent Operational Mode in Synthetic Aperture Radar Applications
Stripmap SAR represents the most widely used operational mode in SAR applications, where the radar moves at constant velocity along a straight path with a fixed squint angle between the antenna beam center and velocity direction. This discussion focuses specifically on zero squint angle conditions, known as side-looking Stripmap SAR, with additional technical insights into implementation approaches and key algorithmic considerations.
SAR Point Target Simulation with Three Imaging Algorithms
SAR Point Target Imaging Simulation with MATLAB implementations of three core algorithms (Range-Doppler, Chirp-Scaling, and Range Migration Algorithm), accompanied by detailed documentation. The Word documents provide mathematical derivations of all algorithms, combined with MATLAB imaging code for rapid SAR learning. Key technical aspects include handling two-dimensional coupling in range/azimuth directions and leveraging large time-bandwidth product signals for efficient frequency-domain processing.
SAR Point Target Simulation with MATLAB Implementation
MATLAB-based SAR point target simulation featuring clear program architecture and intuitive implementation, easily adaptable for educational and research purposes
MATLAB Code Implementation for SAR Point Target Imaging
MATLAB program for SAR point target imaging using Range-Doppler (RD) algorithm with multi-point target processing capabilities.