Explore MATLAB source code curated for "成像算法" with clean implementations, documentation, and examples.
The Range-Doppler algorithm in synthetic aperture radar imaging, including squint angle processing scenarios, is implemented through range compression, azimuth FFT, range cell migration correction, and azimuth compression stages.
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.
Backprojection (BP) Synthetic Aperture Radar (SAR) Imaging Algorithm with Code Implementation Details
This Range-Doppler (R-D) imaging algorithm for stationary point targets features a migration correction module, implemented based on Professor Bao Zheng's seminal work "Radar Imaging Technology." The implementation includes key signal processing stages such as range compression, Doppler processing, and migration correction using interpolation or phase compensation techniques. Highly beneficial for radar imaging beginners, the code demonstrates practical application of theoretical concepts with clear MATLAB/Python function structures for educational purposes.
Supplemental materials for Synthetic Aperture Radar Imaging Algorithms and Implementation CD-ROM, including CD data format specifications and MATLAB programs for reading CD data, featuring implementations of various SAR processing algorithms with detailed code explanations.
This resource covers three key SAR imaging algorithms implemented in MATLAB, designed specifically for beginners to learn practical implementation techniques and understand radar signal processing fundamentals.
SAR imaging principles, imaging algorithms, background description, range cell migration correction with implementation insights
SAR imaging algorithm MATLAB source code with subroutines, including simulation results and implementation details
An airborne SAR imaging algorithm with Range-Doppler (RD) point target echo data processing methodology
Field II simulation of a multi-angle compound plane wave imaging algorithm using coherence factor weighting, which can be directly executed within the Field II toolkit. The implementation involves synthesizing plane waves from multiple transmission angles and applying coherence-based weighting to enhance image resolution and contrast.