Developing Low-Cost Multispectral Imagers using Inter-Band Redundancy Analysis and Greedy Spectral Selection in Hyperspectral Imaging. Remote Sensing 2021.

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

Analysis of the Salinas hyperspectral image dataset using advanced clustering algorithms, focusing on identifying homogeneous regions in the image. Implementations of cost-function optimization and hierarchical clustering techniques, along with evaluations and visualizations in reduced-dimensional spaces.