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Decode Russian Meteor weather satellite

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Meteor Decoder

This project is intended to be a cross platform software to decode METEOR M2 weather satellite data into images. Input file can be ".S" (soft samples) or ".wav" file. It was created for educational purposes, to learn about satellite communications, how to decode QPSK modulated signals, GIS experiements and all the other stuff that was involved in this project.

The project is based on

http://jmfriedt.free.fr/glmf_meteor_eng.pdf

https://github.com/infostellarinc/starcoder/tree/master/gr-starcoder/lib/meteor

https://github.com/artlav/meteor_decoder

https://lucasteske.dev/satcom-projects/satellite-projects

https://github.com/dbdexter-dev/meteor_demod

Currently supported outputs are raw channel images, RGB images, IR images. Output projection modes are rectified image, Mercator and Azimuthal Equidistant projection.

Dependencies for compiling the project

OpenCV must be installed on the system. Required OpenCV modules: core, imgcodecs, imgproc

Lots of people struggling with compiling openCV on Raspberry Pi. Here is the commands that I've tested on Raspbian:

sudo apt install python3-dev python3-pip
sudo apt install cmake build-essential pkg-config git
sudo apt install libatlas-base-dev liblapacke-dev gfortran
git clone https://github.com/opencv/opencv.git
cd opencv/
mkdir build && cd build
cmake ../  -DBUILD_LIST=core,imgproc,imgcodecs -DCMAKE_INSTALL_PREFIX=/usr/local -DBUILD_TESTS=OFF -DBUILD_EXAMPLES=OFF -DCMAKE_SHARED_LINKER_FLAGS=-latomic
make -j4
sudo make install

Build and install from sources

For the development QT creator is used, but the qmake is maintained only for windows.

CMAKE is the build system to compile the project. Tested on Windows and Linux(ubuntu, raspbian)

git clone https://github.com/Digitelektro/MeteorDemod.git
cd MeteorDemod
git submodule update --init --recursive
mkdir build && cd build
cmake ../
make -j4
sudo make install

Install using deb package

I've created a debian package for raspberry pi users. There is a limitation though, user home folder must be "/home/pi".

sudo apt install python3-opencv
sudo apt install ./MeteorDemod-x.x.x-Linux.deb

Usage

Input parameters:

-t --tle Two-line element set (TLE) file for calculating overlays

-i --input Input *.S file or *.wav

-o --output Optional, folder where generated files will be saved

-f --format Optional, format of the output images (jpg, bmp, png), default: bmp

-d --date Optional, specify date for decoding older files (format: dd-mm-yyyy)

Other settings can be found in the settings.ini file.

Development

Master branch is for the latest stable version, beta branch for beta versions, development is ongoing on other branches.

Future developments

  • More precise image overlays
  • Rain overlay
  • Composite output from multiple passes
  • Support dead Meteor M2 2 satellite (it may be required for future satellites)
  • Multithreading, faster image processing

Example Outputs

Spreaded Image

Spreaded Image

Mercator projection

Mercator Image

Azimuthal Equidistant projection

Equidistant Image

IR Image

IR Image

Temperature Image

Temperature Image

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Decode Russian Meteor weather satellite

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