APPLICATION OF NOISE REDUCTION METHOD BASED ON CURVELET THRESHOLDING NEURAL NETWORK FOR POLAR ICE RADAR DATA PROCESSING  

作　　者：Wang Wenpeng Zhao Bo Liu Xiaojun 

机构地区：[1]Key Laboratory of Electromagnetic Radiation and Detection Technology, Chinese Academy of Sciences [2]University of Chinese Academy of Sciences

出　　处：《Journal of Electronics(China)》2013年第4期377-383,共7页电子科学学刊（英文版）

基　　金：Supported by the National High Technology Research and Development Program of China (No. 2011AA040202);the National Natural Science Foundation of China (No. 40976114)

摘　　要：Due to the demand of data processing for polar ice radar in our laboratory, a Curvelet Thresholding Neural Network (TNN) noise reduction method is proposed, and a new threshold function with infinite-order continuous derivative is constructed. The method is based on TNN model. In the learning process of TNN, the gradient descent method is adopted to solve the adaptive optimal thresholds of different scales and directions in Curvelet domain, and to achieve an optimal mean square error performance. In this paper, the specific implementation steps are presented, and the superiority of this method is verified by simulation. Finally, the proposed method is used to process the ice radar data obtained during the 28th Chinese National Antarctic Research Expedition in the region of Zhongshan Station, Antarctica. Experimental results show that the proposed method can reduce the noise effectively, while preserving the edge of the ice layers.Due to the demand of data processing for polar ice radar in our laboratory, a Curvelet Thresholding Neural Network （TNN） noise reduction method is proposed, and a new threshold function with infinite-order continuous derivative is constructed. The method is based on TNN model. In the learning process of TNN, the gradient descent method is adopted to solve the adaptive optimal thresholds of different scales and directions in Curvelet domain, and to achieve an optimal mean square error performance. In this paper, the specific implementation steps are presented, and the superiority of this method is verified by simulation. Finally, the proposed method is used to process the ice radar data obtained during the 28th Chinese National Antarctic Research Expedition in the region of Zhongshan Station, Antarctica. Experimental results show that the proposed method can reduce the noise effec- tively, while preserving the edge of the ice layers.

关 键 词：Radar data processing Thresholding Neural Network （TNN） CURVELET Ice radar 

分 类 号：TP303[自动化与计算机技术—计算机系统结构] TN957.52[自动化与计算机技术—计算机科学与技术]