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Proceedings Paper

Software system for cloud classification according to MODIS satellite images
Author(s): V. G. Astafurov; D. N. Laikom; A. V. Skorokhodov
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Paper Abstract

A software system for classifying 14 types of one-layer and convective clouds is presented; it is based on the use of neural network classifier and information on texture of MODIS satellite images with the spatial resolution of 250 m. The used classification algorithm and a modified method for its learning are described. The estimates of the generalizing capability of the developed classifier and the reliability of results of the cloud classification on the basis of test sample are discussed.

Paper Details

Date Published: 25 November 2014
PDF: 8 pages
Proc. SPIE 9292, 20th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 92924K (25 November 2014); doi: 10.1117/12.2070403
Show Author Affiliations
V. G. Astafurov, V.E. Zuev Institute of Atmospheric Optics (Russian Federation)
Tomsk State Univ. of Control Systems and Radioelectronics (Russian Federation)
D. N. Laikom, National Research Tomsk Polytechnic Univ. (Russian Federation)
A. V. Skorokhodov, V.E. Zuev Institute of Atmospheric Optics (Russian Federation)


Published in SPIE Proceedings Vol. 9292:
20th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
Oleg A. Romanovskii, Editor(s)

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