European Facility For Airborne Research Nov. 5, 2024, 14:10
Publisher:
Platform:
Software / Code: Python
Requirements: SciPy
Features: Current capabilities include modeling the phase history for a collection of point targets as well as processing phase histories using the polar format, omega-k, backprojection, digitally spotlighted backprojection, fast-factorized backprojection, and fast-factorized backprojection with multi-processing algorithms. Autofocusing can also be performed using the Phase Gradient Algorithm. The current version can interface with AFRL Gotcha and DIRSIG data as well as a data set provided by Sandia.
Webpage: https://github.com/dm6718/RITSAR
Reference:
Last modified: 2015
Comments:
Publisher: ESA
Platform: Windows, Linux, Unix-Solaris
Software / Code: C++ library (binary packages)
Requirements: OSGeo4W packages for Windows
Features: The Polarimetric SAR Data Processing and Educational Tool aims to facilitate the accessibility and exploitation of multi-polarised SAR datasets including those from ESA (Envisat ASAR Alternating Polarisation mode products and Sentinel-1) and Third Party Missions (ALOS-1 PALSAR, ALOS-2 PALSAR, COSMO-SkyMed, RADARSAT-2, RISAT, TerraSAR-X and Tandem-X). The Toolbox currently handles dual-pol and full-pol data from different airborne and spaceborne missions.
Webpage: https://earth.esa.int/web/polsarpro/overview
Reference: https://earth.esa.int/web/polsarpro/documentation
Last modified: 2015
Comments: