SAR Sea ice classification which is based on wavelet character

Xi Chen; Yi Kong; Xian-bin Zhao; Wen-jun Liu; Yang Li

doi:10.1117/12.2072080

24 November 2014 SAR Sea ice classification which is based on wavelet character

Xi Chen, Yi Kong, Xian-bin Zhao, Wen-jun Liu, Yang Li

Proceedings Volume 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition; 93011I (2014) https://doi.org/10.1117/12.2072080
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China

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.

Citation Download Citation

Xi Chen, Yi Kong, Xian-bin Zhao, Wen-jun Liu, and Yang Li "SAR Sea ice classification which is based on wavelet character", Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93011I (24 November 2014); https://doi.org/10.1117/12.2072080

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available