Classification of GRD product

Microwave Toolbox
38

answers according to your numbers:

  1. To this time, SNAP wasn’t developed that far so I processed the images in python using pyimpute of Matthew Perry: https://github.com/perrygeo/pyimpute

  2. In order to train the classifier I had to resample the data to the common resolution of 10 meter but SNAP should be able to take inputs of different cell size. Edit: obviously that’s not the case as you reported here: Rndom forest classification steps
    MaxLike and other classifiers need to have data of same range so if you want to use them you should first convert them to integer8 so all of them range between 0-255. Otherwise the classifiers are not effective. Random Forst is not affected by this because it works with threshols instead of feature space.

  3. no, also based on the python module and own excel calculations for the accuracy assessment.