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Proceedings Paper

SAR Sea ice classification which is based on wavelet character
Author(s): Xi Chen; Yi Kong; Xian-bin Zhao; Wen-jun Liu; Yang Li
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Paper Abstract

For sea ice monitoring , automatic classification of SAR image has great signification. Due of coherence, adjacent pixels of the gray would change randomly in rader echo signals,which causes traditional features can’t work well in SAR sea ice classification. The energy of coherent speckle noise is concentrated in the high frequency. The wavelet transform can decompose signal into different components in the frequency domain, which providing an opportunity to analyze the signal locally.In this paper, a mothod of sea ice classification is adopted, which is based on low-frequency sub-band wavelet feature. The result shows this method reduces the noise influence and improves inaccurate classification caused by noise.

Paper Details

Date Published: 24 November 2014
PDF: 9 pages
Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93011I (24 November 2014); doi: 10.1117/12.2072080
Show Author Affiliations
Xi Chen, The PLA Univ. of Science and Technology (China)
Yi Kong, The PLA Univ. of Science and Technology (China)
Xian-bin Zhao, The PLA Univ. of Science and Technology (China)
Wen-jun Liu, Guangzhou Military Area Command (China)
Yang Li, The PLA Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 9301:
International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition
Gaurav Sharma; Fugen Zhou; Jennifer Liu, Editor(s)

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