Starred repositories
Create time-series datacubes for supervised machine learning with ICEYE SAR images.
A basic Python library to demonstrate reading, writing, display, and simple processing of complex SAR data using the NGA SICD standard.
A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
scene-oriented, flexible 3D engine (C++, Python, C#, Java)
RAT - Radar Tools: SAR image processing toolbox (discontinued)
Using SNAP as InSAR processor for StaMPS
InSAR Scientific Computing Environment version 2
Tools for exploiting ARIA standard products
Fine Resolution InSAR With Generalized Eigenvectors (FRInGE)
PyPS (Python Distributed Scatterer) scripts for processing InSAR time series. Support for Sentinel and ALOS.
LiCSBAS: InSAR time series analysis package using LiCSAR products
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
Code and test data for the paper: Liu, F., Elliott, J. R., Craig, T. J., Hooper, A., & Wright, T. J. (2021). Improving the resolving power of InSAR for earthquakes using time series: A case study i…
Retrieve sea ice type from Sentinel-1 SAR with CNN
TIANCHI天池 2019县域农业大脑AI挑战赛 1/1520
Deep learning for localized rapid deformation detection and InSAR phase unwrapping
Sea ice drift from Sentinel-1 SAR imagery using open source feature tracking
Source code and datadset for "Deep learning algorithm for feature matching of cross modality remote sensing images"