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.

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

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