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Proceedings Paper

Analysis of cloudiness by intensity segmentation and clustering
Author(s): Roman A. Melnyk; Yuriy I. Kalychak; Ruslan B. Tushnytskyy; Daniel Sawicki; Bakhyt Yeraliyeva
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Paper 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.

Paper Details

Date Published: 6 November 2019
PDF: 10 pages
Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 1117639 (6 November 2019); doi: 10.1117/12.2536479
Show Author Affiliations
Roman A. Melnyk, Lviv Polytechnic National Univ. (Ukraine)
Yuriy I. Kalychak, Lviv Polytechnic National Univ. (Ukraine)
Ruslan B. Tushnytskyy, Lviv Polytechnic National Univ. (Ukraine)
Daniel Sawicki, Lublin Univ. of Technology (Poland)
Bakhyt Yeraliyeva, Taraz State Univ. (Kazakhstan)


Published in SPIE Proceedings Vol. 11176:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019
Ryszard S. Romaniuk; Maciej Linczuk, Editor(s)

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