Radar Echo Classifier Algorithm Development Using Python
نویسنده
چکیده
We have developed a Radar Echo Classifier (REC) algorithm to identify various radar echoes such as precipitation, clear air, and in particular anomalously propagated (AP) ground clutter in NEXRAD radar data. The REC uses fuzzy logic to identify these various echo types. We implemented the REC using the Python language along with C++ extensions. This implementation replaces and extends the functionality of an earlier program, the AP Clutter Analysis Tool (APCAT) (VanAndel, et al., 1999). Our new implementation provides a more productive environment to quickly evaluate and test new algorithms and a very efficient system to process large amounts of data.
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