An agent network for microburst detection
نویسنده
چکیده
Meteorological data provides a rich source of imagery which is well suited to the growing eld of agent networks based image processing. Here we discuss one such system which analyses Doppler and reeec-tivity radar volumes to detect microbursts (windshear events). The system employs a network of agents, each performing a subtask of the detection, with message passing between agents. The various agents detect re-ectivity cores, high divergent shear zones, microbursts and track microbursts through time. It is implemented in the Java language, and is successfully detecting mi-crobursts in data from the Kurnell radar near Sydney.
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