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Cognitive Radio Interference Modeling and Application on Fading Channels Read chapter Read first chapter

2015 | OriginalPaper | Chapter

74. Ground-based Cloud Detection Using Automatic Graph Cut

Authors : Shuang Liu, Zhong Zhang, Shuaiqi Liu, Liang Han

Published in: The Proceedings of the Third International Conference on Communications, Signal Processing, and Systems

Publisher: Springer International Publishing

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Abstract

Clouds are one of the most important meteorological phenomena related to the hydrological cycle and affect earth radiation balance. Ground-based cloud classification, as a key component of cloud analysis has received great concern in recent years and a number of algorithms have been proposed. However, there is no comprehensive study concerning the different classification methods. In this paper, we first make a survey on various classification methods. Further, we detail the current algorithms for classification and give theoretical analysis. Finally, we evaluate the performance of different algorithms under two ground-based cloud datasets. The experimental findings firmly justify our theoretical analysis.

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previous chapter Unequal-Compressed Sensing Based on the Characteristics of Wavelet Coefficients
next chapter Identifying Image Splicing Based on Local Statistical Features in DCT and DWT Domain
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Metadata
Title
Ground-based Cloud Detection Using Automatic Graph Cut
Authors
Shuang Liu
Zhong Zhang
Shuaiqi Liu
Liang Han
Copyright Year
2015
Book
The Proceedings of the Third International Conference on Communications, Signal Processing, and Systems

Print ISBN: 978-3-319-08990-4

Electronic ISBN: 978-3-319-08991-1

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-08991-1_74