SNOUG-Vel/src/Operation.tex

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%
% Operation
%
% SatNOGS Optical Unofficial Guide
%
% Copyright (C) 2022, Jeff Moe
%
% This document is licensed under the Creative Commons Attribution 4.0
% International Public License (CC BY-SA 4.0) by Jeff Moe.
%
\section{Overview of Operation}
\label{sec:overview-operation}
HOWTO run a SatNOGS Optical ground station.
\section{Setup Optical Ground Station}
Setup embedded computer, such as an Odroid N2, with Debian stable
(11/Bullseye) or testing (Bookworm).
See each repository for latest documentation.
Install dependencies from Debian repository:
\begin{minted}{sh}
sudo apt update
sudo apt install python3-virtualenv python3-pip python3-dev \
source-extractor astrometry.net \
libeigen3-dev giza-dev libx11-dev \
astrometry-data-tycho2 astrometry-data-tycho2-07 \
astrometry-data-tycho2-08 astrometry-data-tycho2-09 \
astrometry-data-tycho2-10-19
\end{minted}
Next, install the hough3d-code dependency.
\begin{minted}{sh}
git clone https://gitlab.com/pierros/hough3d-code
cd hough3d-code
make all
sudo cp -p hough3dlines /usr/local/bin/hough3dlines
\end{minted}
Install `satpredict` from using either the cbassa or spacecruft repo.
\begin{minted}{sh}
cd ../
git clone https://spacecruft.org/spacecruft/satpredict
# Or
#git clone https://github.com/cbassa/satpredict
cd satpredict/
make
sudo make install
\end{minted}
\section{Configure}
Configure the machine.
\section{Acquire Data}
Acquire data with acquire.py.
\begin{figure}[h!]
\includegraphics[keepaspectratio=true,height=1.10\textheight,width=1.00\textwidth,angle=0]{stvid-acquire-0.png}
\caption{Satellite images acquired by stvid.}
\label{fig:stvid-acquire}
\end{figure}
\section{Process Data}
Process data with process.py.
\begin{figure}[h!]
\includegraphics[keepaspectratio=true,height=1.10\textheight,width=1.00\textwidth,angle=0]{stvid-process-0.png}
\caption{Satellite images processed by stvid.}
\label{fig:stvid-process}
\end{figure}
\section{Upload Data}
Push.