The Satellite Image Simulation Toolkit (SImSiT) is a Python software package designed to generate diverse and realistic satellite imaging scenarios. SImSiT is built on top of GalSim and SSAPy and serves as a toolkit for simulating imaging data that supports the development and testing of algorithms for satellite detection, calibration, and characterization.
For more details on the project including the installation, contributing, and the getting started guide see the documentation.
Example of simulated image output from SImSiT of satellites in low-Earth orbit observed in the optical i-band filter using a ground-based sensor: Left: An example image taken with sidereal (star) tracking, where the fast-moving satellite appears as a streak across the image. Right: An example image taken with satellite tracking, where the stars appear as streaks, and the satellite appears as a point source.
SImSiT is distributed under the terms of the MIT license. All new contributions must be made under the MIT license.
See Link to license and NOTICE for details.
SPDX-License-Identifier: MIT
LLNL-CODE-2009738