HyperSpectral Image Classification

This project aims to develop a hyper-spectral image classification system. The system will take hyper-spectral images as input and classify each pixel into different land cover classes.

Installation

To use this project, follow these steps:

1. Clone the repository:

   git clone https://github.com/nithinhd/HyperSpectral-Image-Classification.git

2. Install the required dependencies:

   pip install -r requirements.txt

Usage

Run the Image-Classifier.ipynb notebook to train and test the hyper-spectral image classification model.