Developing Low-Cost Multispectral Imagers using Inter-Band Redundancy Analysis and Greedy Spectral Selection in Hyperspectral Imaging.

This repository hosts the code behind our research paper "A Multi-Dimensional Deep Hierarchical Approach Towards Aerial Hyperspectral Image Classification" (2021)

Satellite Image Classification

Finding homogenous regions in the Salinas hyperspectral image

This repository showcases the analysis of the Salinas hyperspectral image dataset using advanced clustering algorithms, focusing on identifying homogeneous regions in the image. It includes implementations of cost-function optimization and hierarchical clustering techniques, along with evaluations and visualizations in reduced-dimensional spaces.