A new image processing method for discriminating internal layers from radio echo sounding data of ice sheets via a combined robust principal component analysis and total variation approach 被引量：2

A new image processing method for discriminating internal layers from radio echo sounding data of ice sheets via a combined robust principal component analysis and total variation approach

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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.

作者 LANG ShiNan ZHAO Bo LIU XiaoJun FANG GuangYou

机构地区 Key Laboratory of Electromagnetic Radiation and Sensing Technology Institute of Electronics Graduate University of Chinese Academy of Sciences

出处《Science China(Technological Sciences)》 SCIE EI CAS 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)

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 图像处理方法南极冰盖主成分分析探测资料无线电内层识别信号处理方法

分类号 TN925 [电子电信—通信与信息系统] TP391.41 [自动化与计算机技术—计算机应用技术]

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