InSAR Filtering Code Implementation
Excellent InSAR filtering solution with beginner-friendly code structure and comprehensive documentation
Minimum Network Flow Method for Phase Unwrapping in InSAR
MATLAB source code implementing the minimum network flow method for phase unwrapping in InSAR, guaranteed to be fully functional and executable.
Interferometric Synthetic Aperture Radar (InSAR) Dataset
Interferometric Synthetic Aperture Radar (InSAR) Data: ERS-acquired coherence amplitude and interferometric phase data for a mountainous region, stored in MATLAB .mat format with ready-to-process structure for deformation analysis
InSAR Optimal Fusion Filtering
MATLAB implementation of InSAR optimal fusion filtering algorithm, verified through testing to be effective and feasible with detailed code structure and optimization techniques
InSAR MATLAB Toolbox
An InSAR MATLAB toolbox encompassing comprehensive processing workflows including baseline estimation, filtering, and DEM generation for interferometric SAR data analysis.
InSAR (Interferometric Synthetic Aperture Radar) Image Processing Module
MATLAB source code for InSAR image processing component developed by Delft University of Technology, Netherlands, featuring phase-based deformation analysis algorithms and radar interferometry implementations.
InSAR (Interferometric Synthetic Aperture Radar) Image Processing Module
Source code for the InSAR image processing component developed by Delft University of Technology (Netherlands), implemented in MATLAB with comprehensive radar interferometry functionality.
InSAR (Interferometric Synthetic Aperture Radar) Image Processing Module
MATLAB source code for the InSAR (Interferometric Synthetic Aperture Radar) image processing component developed by Delft University of Technology, featuring phase unwrapping algorithms and coherence calculation functions
Goldstein Filtering Method: MATLAB Implementation for ESPI, InSAR, and Fingerprint Image Processing
MATLAB implementation of the Goldstein filtering method suitable for ESPI electronic speckle pattern interferometry, InSAR fringe pattern filtering, and fingerprint image enhancement applications. This algorithm effectively separates signal components from noise using frequency-domain processing techniques.
Methods for Processing Atmospheric Effects in InSAR
Atmospheric Effect Elimination in InSAR - Implementation Approaches and Algorithmic Considerations