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HSI Classification

Classifying hyperspectral imagery is a pixel-wise task. In this repository, I present a collection of traditional algorithms and deep learning methods for hyperspectral imagery classification.

For detailed information on each method, please refer to the corresponding readme file.

Traditional machine learning-based methods

  • KNN (K-Nearest Neighbors)
  • SVM (Support Vector Machine)

Deep learning-based methods

  • 1D-CNN (One-Dimensional Convolutional Neural Network)
  • 2D-CNN (Two-Dimensional Convolutional Neural Network)
  • 3D-CNN (Three-Dimensional Convolutional Neural Network)