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arXiv · 2510.15219

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

Patricia Medina·Rasika Karkare
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Abstract

This work extends our previous study on enhancing 3D LiDAR point-cloud classification with product coefficients \cite{medina2025integratingproductcoefficientsimproved}, 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.

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Patricia Medina, Rasika Karkare. 2025-10-17. Integrating Product Coefficients for Improved 3D LiDAR Data Classification (Part II). https://arxiv.org/abs/2510.15219

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