I want to perform supervised classification in Python and in order to perform that I need to have a training sample raster and satellite image. My problem is the training sample raster file has a smaller size (rows X columns) as compared to my satellite image. I have tried to enlarge my training sample size image using PIL but that does not store geo-transformation and other coordinate related information. Is there any other library which performs resizing-increasing the image size to our original satellite image. Here is the code that I have tried-
from PIL import Image
img = Image.open('/your image path/alltraining.tiff')
new_width = 4125
new_height = 6044
img = img.resize((new_width, new_height), Image.ANTIALIAS)
img.save('output image name.tiff')
satellite image of size- 4125X6144
Training sample of size- 4002X5894
If I try to perform classification with these rasters I get an error of dimensions does not match
