meteor_corrector is a tool for correcting the warp at the edges of images from Meteor-M2 satellite (and alike) written in python3.
Utilizing OpenCV for image transformations means that meteor_corrector is normally incredibly fast.
NOTE: meteor_corrector assumes pixels at the zenith are 1:1, which is only true for Meteor, images from other satellites will be stretched.
The vertical resolution (-r/--resolution) flag can be used to manually override this assumption.
If you are on x86 all requirements can be installed easily through pip:
pip3 install numpy opencv-python
# Or for headless systems
pip3 install numpy opencv-python-headless
However if you are on ARM (eg Raspberry Pi's), you will have to install OpenCV through apt:
pip3 install numpy
sudo apt install python3-opencv
usage: meteor_corrector [-h] [-s SWATH] [-a ALTITUDE] [-o OUTPUT] [-r RESOLUTION] [-f] filename
Correct the warp at the edges of images from Meteor-M2 satellite (and alike)
positional arguments:
filename path to the input image
optional arguments:
-h, --help show this help message and exit
-s SWATH, --swath SWATH
swath of the satellite (in km)
-a ALTITUDE, --altitude ALTITUDE
altitude of the satellite (in km)
-o OUTPUT, --output OUTPUT
path of the corrected image
-r RESOLUTION, --resolution RESOLUTION
vertical resolution of the input image in km/px
-f, --flip flip the image, for northbound passes
python3 correct.py LRPT_2020_07_09-10_47.png
Correct LRPT_2020_07_09-10_47.png, output filename will be LRPT_2020_07_09-10_47-corrected.png
python3 correct.py -o corrected_image.png LRPT_2020_07_09-10_47.png
Manually specify the output filename
python3 correct.py -a 870 -s 2800 -r 1 HRPT_N19_20200708_113834.png
Correct a NOAA 19 HRPT image (NOAA 19 has altitude of 870km, and swath of 2800km)
See LICENSE