Resources for phase recovery (also called phase imaging, phase retrieval, or phase reconstruction)
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Updated
Feb 26, 2025
Resources for phase recovery (also called phase imaging, phase retrieval, or phase reconstruction)
A pythonic interface for radio astronomy interferometry data (uvfits, miriad, others)
Scripts to facilitate parallel InSAR processing and analysis of Sentinel-1 time series on HPC clusters based on GMTSAR and Slurm.
Interferometric Synthetic Aperture Radar for Soil Moisture
Seismic Ambient Noise Three-Station Interferometry
Deep Probabilistic Imaging (DPI): Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging
A python toolbox for easily searching, downloading & processing remote sensing imagery from various public sources. Includes a Sentinel-1 InSAR processor.
Gpu Accelerated Library for Analysing Radio Interferometer Observations
Transient Array Radio Telescope
Deformable mirror calibration and control library
1D, super-resolution brightness profile reconstruction for interferometric sources
Xarray extension for Synthetic Aperture Radar (SAR) data
Repository for storing programs I use for interferometric processing of SAR images.
Python/C/C++ codes for samples measurement via white light scanning interferometry and deduction of the surface elevation profile of the sample
Precision Radio Interferometry Simulator (for radio astronomy applications)
A Python library of common tasks used in the observational radio/mm interferometry data analysis.
This is a comprehensive MATLAB-based software platform developed for real-time measurement and feedback control of a custom mask-projection photopolymerization based additive manufacturing system (referred as "ECPL", i.e., Exposure Controlled Projection Lithography) using a lab-built interferometry (referred as "ICM&M", i.e., Interferometric Cur…
Pipeline for real-time fast transient detection in radio interferometric data (see also https://github.com/realfastvla/rfpipe)
a python package for eXtreme Angular Resolution Astronomy
Learning a probabilistic strategy for computational imaging sensor selection (cosense)
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