Clone of cbassa's stvid. Satellite tracking with video cameras. https://spacecruft.org/spacecruft/stvid
 
 
Go to file
Pierros Papadeas 550399a360
Add calibrate.py for astrometric solving
2019-05-12 17:33:00 +03:00
stvid Add calibrate.py for astrometric solving 2019-05-12 17:33:00 +03:00
.gitignore Create configuration file and add LICENSE 2018-04-20 00:40:03 +03:00
LICENSE Create configuration file and add LICENSE 2018-04-20 00:40:03 +03:00
README.md Update readme file 2018-05-07 16:47:36 +03:00
acquire.py Add calibrate.py for astrometric solving 2019-05-12 17:33:00 +03:00
calibrate.py Add calibrate.py for astrometric solving 2019-05-12 17:33:00 +03:00
configuration.ini-dist Add calibrate.py for astrometric solving 2019-05-12 17:33:00 +03:00
imgstat.py Add calibrate.py for astrometric solving 2019-05-12 17:33:00 +03:00
keogram.py Add calibrate.py for astrometric solving 2019-05-12 17:33:00 +03:00
process.py Add calibrate.py for astrometric solving 2019-05-12 17:33:00 +03:00
requirements.txt Updated requirements 2019-04-22 16:46:21 +02:00
setup.cfg Add calibrate.py for astrometric solving 2019-05-12 17:33:00 +03:00
update_tle.py Add calibrate.py for astrometric solving 2019-05-12 17:33:00 +03:00

README.md

STVID

stvid is a set of python programs to detect and identify satellite tracks on video observations of the night sky, and measure the satellite positions to determine and/or update their orbits.

This software will take over the satellite tracking functionality of my sattools. By porting the functionality to python, and using astropy, and opencv, the software is easier to install and operate.

This repository is currently used for development, and relies, for the moment, on programs from the sattools repository.

Installation

stvid handles requirements using pip. You can install requirements by running pip install -r requirements.txt. You should consider using a VirtualEnv to run stvid on a separate python virtual environment. You will also need to download the Tycho 2 catalog.

Configuration

  • Copy the configuration.ini-dist file to configuration.ini
  • Edit configuration.ini with your preferred settings

Running

TBD

Todo

Features to be implemented.

High priority

  • Use sunset/sunrise times for starting/stopping data acquisition.
  • Manual and automatic astrometric calibration.
  • Recognize unidentified satellite/meteor tracks using 3D Hough transform.

Medium priority

  • Pause data acquisition of the current line-of-sight (alt/az) is in the Earth's shadow for a particular orbital altitude.
  • Investigate sensitivity loss of significance=(max-mean)/sigma if the four frame images are stored as 8bit integers instead of floats.

Low priority

  • Implement python based star finding (stick with source extractor for now).
  • Migrate to python based SGP4/SDP4 algorithms
  • Use masks to mask unilluminated CCD areas.
  • Investigate automatic submission of IOD measurements to SeeSat-L.
  • Migrate user settings to a configuration file.

Run acquisition at startup

  • Add user to video group (sudo adduser <username> video).
  • Add video device to udev rules (add SUBSYSTEM=="video1", GROUP="video", MODE="0660" in /etc/udev/rules.d/10-webcam.rules).
  • Create start up script in /etc/init.d. Call capture script as user with su <username> -c "capture_1.sh".

License

© 2018 Cees Bassa

Licensed under the GPLv3.