Automatic wind turbine identification using level-II data

In this work, an automatic wind turbine identification scheme was developed, with a restriction that only Level-II data are available. The motivation is to minimize modification to the existing data processing infrastructure of the WSR-88D. The concept is to process several consecutive scans of images and look for features that move. This was accomplished by processing a set of six running-temporal textures, which are derived from the moment data, to find temporal continuity. A fuzzy logic inference system is used to combine information from the six textures to make a final decision of detection. Preliminary results will be presented to demonstrate the potential of this algorithm.