24 November 2014 SAR Sea ice classification which is based on wavelet character
Author Affiliations +
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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xi Chen, Xi Chen, Yi Kong, Yi Kong, Xian-bin Zhao, Xian-bin Zhao, Wen-jun Liu, Wen-jun Liu, Yang Li, 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); doi: 10.1117/12.2072080; https://doi.org/10.1117/12.2072080
PROCEEDINGS
9 PAGES


SHARE
Back to Top