RF classification of Sentinel 1A

[ABraun]

in this case you either need more input layers or better training samples. Please have a look here:

Classification of GRD product

If you only have VV polarization classification is difficult. Typical supervised classification is based on samples which help to divide your feature space. But even if you have VV and VH, your feature space is only n=2 so your classes won’t be much distinctive. To increase your feature space you have the following options: add image textures (GLCM module), but this should be done before speckle filtering. Speckle filtering destroys most of the image texture. add images of different dates (dry…