Compartmental Gaussian Mixture Model used for Layer Detection in Radio-Echo Sounding Data

Yan Liu,Qiang Wang,Weiwei Qu,Jiangyu Han,Bo Zhao

doi:10.1109/icsp.2018.8652476

Compartmental Gaussian Mixture Model used for Layer Detection in Radio-Echo Sounding Data

Yan Liu, Qiang Wang + Show 3 more

https://doi.org/10.1109/icsp.2018.8652476

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Publication Date: Aug 1, 2018

Citations: 6

Affiliation: University of Chinese Academy of Sciences, Beijing Union University, Shandong University of Science and Technology, Institute of Electronics, Chinese Academy of Sciences

#Radio-echo Sounding Data #Radio-echo Sounding + Show 8 more

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Abstract

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.

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