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作 者:LANG ShiNan ZHAO Bo LIU XiaoJun FANG GuangYou
机构地区:[1]Key Laboratory of Electromagnetic Radiation and Sensing Technology,Chinese Academy of Sciences [2]Institute of Electronics,Chinese Academy of Sciences [3]Graduate University of Chinese Academy of Sciences
出 处:《Science China(Technological Sciences)》2014年第4期838-846,共9页中国科学(技术科学英文版)
基 金:supported by the National Hi-Tech Research and Development Program of China("863"Project)(Grant No.2011AA040202);the National Natural Science Foundation of China(Grant No.40976114)
摘 要:Discriminating internal layers by radio echo sounding is important in analyzing the thickness and ice deposits in the Antarctic ice sheet.The signal processing method of synthesis aperture radar(SAR)has been widely used for improving the signal to noise ratio(SNR)and discriminating internal layers by radio echo sounding data of ice sheets.This method is not efficient when we use edge detection operators to obtain accurate information of the layers,especially the ice-bed interface.This paper presents a new image processing method via a combined robust principal component analysis-total variation(RPCA-TV)approach for discriminating internal layers of ice sheets by radio echo sounding data.The RPCA-based method is adopted to project the high-dimensional observations to low-dimensional subspace structure to accelerate the operation of the TV-based method,which is used to discriminate the internal layers.The efficiency of the presented method has been tested on simulation data and the dataset of the Institute of Electronics,Chinese Academy of Sciences,collected during CHINARE 28.The results show that the new method is more efficient than the previous method in discriminating internal layers of ice sheets by radio echo sounding data.
关 键 词:robust principal component analysis (RPCA) total variation (TV) discriminating internal layers from radio echo sounding data of ice sheets conjugate gradient method
分 类 号:TN925[电子电信—通信与信息系统] TP391.41[电子电信—信息与通信工程]
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