What is AI Clusters and How Does It Work?

We have developed AI Clusters a tool designed to enhance lithological mapping by applying machine learning techniques, specifically K-means clustering, to multi- and hyperspectral data. This process enables the classification of geological structures based on their spectral characteristics. Initially, a Principal Component Analysis (PCA) is applied to reduce the dimensionality of the data and focus on the most significant features. By combining PCA and K-means clustering, AI Clusters simplifies the analysis and allows for clearer identification of geological and lithological patterns.

Once the clustering is complete, the results can be compared with RGB images, RGB Composites and mineral mapping outputs to provide a more comprehensive understanding of geological formations. This method can be used within a single geological structure to differentiate mineral compositions, offering valuable insights for mineral exploration and geological analysis.

How AI Clusters Tool Enhances Early-Stage Exploration

The AI Clusters can be used at any stage of mineral exploration. However, its usefulness is especially important in the first steps when the regional geology and alteration zones are mapped and the concept about the region is created.

Before going to the field your geological team can use AI Clusters for the general recognition of the area by classifying it into spectrally similar clusters. It can speed up the planning of the first campaign and make it more precise. When you combine this functionality with mineral mapping and RGB composites results in TerraEye you are getting more and more evidence and insight about the regions’ mineralization.

At the more advanced stage of exploration, AI Clusters are bringing a fresh unbiased view of the region helping to compare the data with the current surface geological concept of the analysed area. It can help to extend your imagination and help you to build new theories leading to the discovery of the deposit!

As the solution is data agnostic, TerraEye can extract the information from any spectral data provider with different spectral and spatial resolutions.

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