There are several ways we may improve the classification results:

  • Improve the labeling and retrain the model
  • Add / remove classes
  • Remove noisy or uninformative bands


Subjectively, we may judge classifier performance visually by applying it to new images unseen in training.

In order to assess objective classification performance, we may estimate error using confusion matrix tool on test images, unseen in training.