Automatic Pixel-wise Labeling

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• Project description:
  • Developed a softmax classifier for classification of hyperspectral remote sensing images and trained the classifier using maximum likelihood criteria.
  • Achieved accuracy of 83.5 % on Indian Pines dataset having 224 channels and 16 ground truth.