Author :
Hasib Al Muzdadid
Department of Computer Science & Engineering,
Rajshahi University of Engineering & Technology (RUET)
Portfolio: https://hasibalmuzdadid.github.io
LinkedIn: https://www.linkedin.com/in/hasibalmuzdadid
This repository contains comparative analysis of different feature extraction techniques for Hyperspectral Image classification. Till now Principal Component Analysis (PCA) and Segmented Principal Component Analysis (SPCA) have been used for feature extraction and Support Vector Machine (SVM) has been used as classifier.
Dataset used : Indian Pines Dataset , Pavia University Dataset.
Language used : Python
Development Tools : Jupyter Notebook