Three-Dimensional Terahertz Coded-Aperture Imaging Based on Matched Filtering and Convolutional Neural Network

Three-Dimensional Terahertz Coded-Aperture Imaging Based on Matched Filtering and Convolutional Neural Network

As a promising radar imaging technique, terahertz coded-aperture imaging (TCAI) can achieve high-resolution, forward-looking, and staring imaging by producing spatiotemporal independent signals with coded apertures. However, there are still two problems in three-dimensional (3D) TCAI. Firstly, the l...

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מידע ביבליוגרפי
Main Authors: Shuo Chen, Chenggao Luo, Hongqiang Wang, Bin Deng, Yongqiang Cheng, Zhaowen Zhuang
פורמט: Article
שפה:English
יצא לאור: MDPI AG 2018-04-01
סדרה:Sensors
נושאים:
coded-aperture imaging
terahertz
three-dimensional (3D)
matched filtering (MF)
convolutional neural network (CNN)
גישה מקוונת:http://www.mdpi.com/1424-8220/18/5/1342

אינטרנט

http://www.mdpi.com/1424-8220/18/5/1342

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