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A Very Quick Neural Network Algorithm for Cloud Detection

Abstract A very quick neural network algorithm for cloud detection, based on a neural network, is developed. Cloud detection is speeded up through the use of the Class Assigning Space (CAS). The CAS is a classified Radiance Space (RS), which has been built using the trained neural network. The CAS is used to assign a class for each pixel in the image instead of using the ANN to treat every single pixel. The detection time is approximately one second. Channel 1 and channel 5 of NOAA‐AVHRR images have been used. The Supervised ART‐II artificial neural network has been employed. The system performance has been tested with different training sets and different input data.