Unveiling Soil Mapping through 3D Hyperspectral Imaging and Visualization
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We provide a new 3D hyperspectral data capturing feature deep into the soil, where each voxel represents a spectrum vector. For effective analysis of this type of new hyperspectral data, we develop a 3D visualization tool to not only directly visualize the individual spectrum of the soil volume but also provide a way to cluster such high-dimensional data, leveraging a deep learning-based method through autoencoder.