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SAR's Projects

awesome-sar icon awesome-sar

A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.

cnn-sentinel icon cnn-sentinel

Analyzing Sentinel-2 satellite data in Python with Keras (repository of our talks at Minds Mastering Machines 2019 and PyCon 2018)

datasetgrl2018fiber icon datasetgrl2018fiber

Data for manuscript "Deformation-based monitoring of fluid migration in a low-permeability rock by distributed fiber optic strain sensing (DFOSS)"

dsarsim icon dsarsim

Dummy Synthetic Aperture Radar Simulator, free and open-source

gprmax icon gprmax

gprMax is open source software that simulates electromagnetic wave propagation using the Finite-Difference Time-Domain (FDTD) method for numerical modelling of Ground Penetrating Radar (GPR)

hydra icon hydra

Python HDR image processing library

monogenic_signal_matlab icon monogenic_signal_matlab

MATLAB/Octave code for calculating the monogenic signal, local phase, feature symmetry/asymmetry and phase congruency

nest icon nest

Replaced by the Sentinel Applications Platform (SNAP)

openadms-node icon openadms-node

Automatic deformation monitoring system for geodetical and geotechnical control measurements in the Internet of Things.

opensarkit icon opensarkit

Tools for Automatic Preprocessing of SAR Imagery

pc_fusion icon pc_fusion

JEI 2015: Multifocus image fusion using phase congruency

phasecongruency icon phasecongruency

The implementation of phase congruency image features detection: edges and corners.

phasepack icon phasepack

Python ports of some of Peter Kovesi's MATLAB functions for image analysis using local phase information

pyrat icon pyrat

General purpose Synthetic Aperture Radar (SAR) postprocessing software package

rat icon rat

RAT - Radar Tools: SAR image processing toolbox (discontinued)

retainwall icon retainwall

Lidar Retain Wall Deformation Monitoring System

reu-acceleratedchangedetectioninsarimages icon reu-acceleratedchangedetectioninsarimages

In this NSF funded Research Experience Undergraduates (REU) project, we develop and implement deep neural network algorithms for change detection of synthetic aperture radar (SAR) images. If you use our work, please cite our paper as a reference.

s3tbx icon s3tbx

A toolbox for the OLCI and SLSTR instruments on board of ESA's Sentinel-3 satellite

sar-change-detection-mlfn icon sar-change-detection-mlfn

The code for paper "Transferred deep learning for sea ice change detection from synthetic aperture radar images"

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