This paper presents a variety of techniques to characterize outdoor scene images into their respective weather components; the sky condition (sunny or cloudy), the presence of rain, and the visibility. Weather characterization is not an easy task due to a large variety of outdoor scene images. Each weather component is characterized individually. The results obtained are promising. The accuracy rates for the weather components achieved are; the sky condition attained 80%, the presence of rain attained 60%, and visibility achieved a mean squared error (MSE) of 1.41.
CITATION STYLE
Moodley, J., & Viriri, S. (2018). Weather characterization from outdoor scene images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11114 LNCS, pp. 160–170). Springer Verlag. https://doi.org/10.1007/978-3-030-00692-1_15
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