European Facility For Airborne Research

RITSAR

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:

PolSARPro

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: