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Comparative analysis of different feature extraction techniques for hyperspectral image classification.

Project : Hyperspectral Image Classification

Author Apache License 2.0 Contributions Welcome Stars

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

Project Description :

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