Underground Anomaly Detection in GPR Data by Learning in the C3 Model Space-Reference-Cited by-同舟云学术

Underground Anomaly Detection in GPR Data by Learning in the C3 Model Space

Author:

Zhou Xiren¹^ORCID,Liu Shikang¹^ORCID,Chen Ao¹,Chen Qiuju²,Xiong Fang³,Wang Yumin⁴,Chen Huanhuan¹^ORCID

Affiliation:

1. School of Computer Science and Technology, University of Science and Technology of China, Hefei, China

2. School of Information Science and Technology, University of Science and Technology of China, Hefei, China

3. Department of Information, Central South University, Changsha, China

4. National Clinical Research Center for Geriatric Diseases, Central South University, Changsha, China

Funder

National Nature Science Foundation of China

National Key Research and Development Program of China

Anhui Provincial Key Research and Development Plan

Key Science and Technology Special Project of Anhui Province

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

Reference59 articles.

4. Visualizing data using t-SNE;van der maaten;J Mach Learn Res,2008

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