Abstract
An important task for the cloud monitoring in several frameworks is providing maps of the cloud coverage. In this paper we present a method to detect cloudy pixels for images taken from ground by an infra-red camera. The method is a three-steps algorithm mainly based on a Fuzzy C-Mean clustering, that works on a feature space derived from the original image and the output of the reconstructed image obtained via normalized convolution. Experiments, run on several infra-red images acquired under different conditions, show that the cloud maps returned are satisfactory.
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Anzalone, A., Isgrò, F., Tegolo, D. (2009). Combining Fuzzy C-Mean and Normalized Convolution for Cloud Detection in IR Images. In: Di Gesù, V., Pal, S.K., Petrosino, A. (eds) Fuzzy Logic and Applications. WILF 2009. Lecture Notes in Computer Science(), vol 5571. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02282-1_18
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DOI: https://doi.org/10.1007/978-3-642-02282-1_18
Publisher Name: Springer, Berlin, Heidelberg
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