Remote sensing framework for geological mapping via stacked autoencoders and clustering

1 code implementation • 2 Apr 2024 • Sandeep Nagar, Ehsan Farahbakhsh, Joseph Awange, Rohitash Chandra

In this study, we present an unsupervised machine learning framework for processing remote sensing data by utilizing stacked autoencoders for dimensionality reduction and k-means clustering for mapping geological units.

Clustering Dimensionality Reduction