cross-sensor-cal

Python tool for cross-sensor calibration (This tool development is part of the NSF Award #DEB 2017889)

Python Scripts Description

• neon2envi2.py

To convert neon data to envi format.

• config_generator.py

To generate config files for topo and brdf corr.

• image_correct.py

Which will load the config file and perform corrections

• correction comparsion notebook

This file load config file and perfrom corrections and visualizes plots for before and after correction.

Steps to run the code:

1. Convert neon data to envi.

   • CMD: python neon2envi2.py <path-to-dataset_name> <path-to-output_folder> -anc
   • Example: python neon2envi.py neon.h5 output/ -anc
   • Make sure output folder exists from the level at which the conversion code is being called.
   • You can change the name of the folder according to your preference.

2. Generate config json

   • Edit the config_generator.py according what correction is to be performed.
   • This script has all the options required.
   • Run the script as python config_generator.py
   • This will create the config_.json in the folder specified in the config file.

3. Perform Correction

   • Run the image_correct.py file with the config file as the cmd args
   • CMD: python image_correct.py <path-to-config-file>
   • Example: python image_correct.py output/config_01.json