A Provisional, Data-Driven Taxonomy of Near-Earth UAP Observations Across Multiple Sensors (Nine Observed Classes)
To the point
Using data from multiple sensors, it presents a provisional, data-driven framework that groups near-Earth unidentified aerial phenomena (UAPs) into nine classes, each with typical shapes, sizes, and flight behaviors, and emphasizes that the taxonomy is evolving as new data are analyzed.
