标题:Compartmental Gaussian Mixture Model used for Layer Detection in Radio-Echo Sounding Data
作者:Liu, Yan ;Han, Jiangyu ;Qu, Weiwei ;Zhao, Bo ;Wang, Qiang
作者机构:[Liu, Yan ] University of Chinese Academy of Sciences, Beijing, China;[Zhao, Bo ] Institute of Electronics, Chinese Academy of Sciences, Beijing, Chin 更多
会议名称:14th IEEE International Conference on Signal Processing, ICSP 2018
会议日期:August 12, 2018 - August 16, 2018
来源:International Conference on Signal Processing Proceedings, ICSP
出版年:2019
卷:2018-August
页码:328-331
DOI:10.1109/ICSP.2018.8652476
摘要:This paper presents a compartmental Gaussian mixture model (GMM) method to trace layers of the ice sheet with radio-echo sounding (RES) data. Based on the compartmentalization of RES data, the proposed method build a compartmental Gaussian mixture model, which is solved using Fuzzy C-means (FCM) method and expectation maximization (EM) method to obtain preliminary layer detection results. And the layer boundaries of the ice sheet are detected according to analyzing the classification results of GMM. Experimental results show that the proposed method can trace layer boundaries of the ice sheet effectively.
© 2018 IEEE.
收录类别:EI
资源类型:会议论文
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