Analysis of cloudiness by intensity segmentation and clustering

Roman A. Melnyk; Yuriy I. Kalychak; Ruslan B. Tushnytskyy; Daniel Sawicki; Bakhyt Yeraliyeva

doi:10.1117/12.2536479

6 November 2019 Analysis of cloudiness by intensity segmentation and clustering

Roman A. Melnyk, Yuriy I. Kalychak, Ruslan B. Tushnytskyy, Daniel Sawicki, Bakhyt Yeraliyeva

Proceedings Volume 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019; 1117639 (2019) https://doi.org/10.1117/12.2536479
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 2019, Wilga, Poland

Abstract

Algorithm of Ramer–Douglas–Peucker for piecewise approximation was used for image multilevel segmentation. The cumulative histogram was chosen as a function for approximation. The developed algorithm was applied to the satellite map images to divide clouds of different intensity. The map images of clouds with different intensity were clustered to obtaine cloudiness values and classification.

Citation Download Citation

Roman A. Melnyk, Yuriy I. Kalychak, Ruslan B. Tushnytskyy, Daniel Sawicki, and Bakhyt Yeraliyeva "Analysis of cloudiness by intensity segmentation and clustering", Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 1117639 (6 November 2019); https://doi.org/10.1117/12.2536479

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