The application discloses a low-altitude unmanned aerial vehicle intelligent tracking and monitoring method and
system, and relates to the technical field of unmanned aerial vehicle tracking.The method collects target data through a multi-source sensor and unifies a space-time reference, generates fused flight tracks and identity information by adopting a hierarchical fusion architecture, drives a photoelectric turntable to track the target based on a LESO-GPC
algorithm, detects a shielding state and switches three
modes of normal, prediction and search to realize anti-shielding continuous tracking, and feeds back photoelectric miss distance to a
fusion center to correct parameters.The application improves the continuity, precision and anti-interference capability of unmanned aerial vehicle tracking.