Preprint
Aug 2026
Lightweight Multi-scale Hierarchical Anomaly Detection and Localization for Geospatial Big Data Applications at the Edge
A lightweight edge-oriented approach for anomaly detection and localization for geospatial data streams by leveraging the H3 discrete global grid system and a multi-scale drill-down logic is proposed, achieving a 99.7\% reduction in evaluations compared to traditional flat-scan methods.
Thomas Benton Townsend, Joshua Bean, Benjamin K. Tkach et al.
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