Hi Modjrian,
I understand that you want to use machine learning models to predict mean radiant temperature(MRT) and your independent variables include image maps obtained as output of other applications. It is not necessary to quantify the maps before importing them for machine learning tasks, but you could apply some preprocessing steps on the image data before using it for training machine learning model.
1) If your maps have different statistical distributions, you can normalize them to have zero mean and unit variance using the "zscore" function. You can refer the following MathWorks documentation to understand more about the "zscore" function.
2) If your maps have multiple channels or layers, you may want to extract specific features or combine them into a single representation. You can refer to the following MathWorks documentation to understand more about different feature extraction techniques.
I hope this helps.
