Machine Intelligent Gust Front Detection
نویسنده
چکیده
I] Techniques of low-level machine intelligence, originally developed at Lincoln Laboratory to recognize military ground vehicles obscured by camouflage and foliage, are being used to detect gust fronts in Doppler weather radar imagery. This Machine Intelligent Gust Front Algorithm (MIGFA) is part of a suite of hazardous-weather-detection functions being developed under contract with the Federal Aviation Administration. Initially developed for use with the latestgeneration Airport Surveillance Radar equipped with a wind shear processor (ASR-9 WSP), MIGFA was deployed for operational testing in Orlando, Florida, during the summer of 1992. MIGFA has demonstrated levels of detection performance that have not only markedly exceeded the capabilities of existing gust front algorithms, but are competitive with human interpreters.
منابع مشابه
Delanoy and Troxel
r Downdraft FIGURE 1. Thunderstorm downdraft and resulting gust front. The cool outflow beneath a thunderstorm spreads out in all directions. The leading edge, where the cool outflow and the warmer ambient air converge, is called the gust front. between detection rates and numbers of false alarms, the issues for gust front detection are 1. obscuration and camouflage, 2. sensor limitations, 3. c...
متن کاملTroxel , S . W . , Delanoy , R . L . , “ Machine Intelligent Approach to Automated Gust Front
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