Morphology-Driven UAP Classification: A Multi-Sensor Framework and Provisional Nine-Class Taxonomy

To the point

UAPs are dynamic, multi-sensor phenomena whose true form changes with spectral band, brightness, motion, and observer interaction, while shape is only the perceptual impression, and robust classification arises from recurring morphology and sensor signatures using a five-variable framework across instruments and sites, as illustrated by Dr. Garry Nolan and researchers like John Joseph and Gerald Tedesco and projects such as the Galileo Project.