Integrating Product Coefficients for Improved 3D LiDAR Data Classification (Part II)

This work extends our previous study on enhancing 3D LiDAR point-cloud classification with product coefficients citemedina2025integratingproductcoefficientsimproved, measure-theoretic descriptors that complement the original spatial Lidar features. Here, we show that combining product coefficients with an autoencoder representation and a KNN classifier delivers consistent performance gains over both PCA-based baselines and our earlier framework. We also investigate the effect of adding product coefficients level by level, revealing a clear trend: richer sets of coefficients systematically improve class separability and overall accuracy. The results highlight the value of combining hierarchical product-coefficient features with autoencoders to push LiDAR classification performance further.