.png){kind=icon}
返回
Depth-Adaptive Object Identification Using Terahertz Time-Domain Spectroscopic Data
.png){kind=icon}
PRE
AI
DOI：10.1109/TTHZ.2021.3078880.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This study focused on machine-learning-based object recognition using the terahertz (THz) band time-domain spectroscopy (TDS) measurements. The reflection responses from each object showed severe depth dependence due to the out-of-focus effect, which was hardly compensated in the analytical propagation model. Such depth dependence severely limits the application range of THz-TDS-based object recognition, where the depth adjustment is not easily achieved, such as in subsurface imaging or industrial product inspection in an assembly line. In this study, we developed a simple adaptive depth signal conversion scheme using a calibration object before neural-network-based supervised learning. Experimental validations using several mono- or disaccharides and their THz-TDS data demonstrated that our compensation scheme successfully enhanced the recognition ratio.
Keyword:
Frequency conversion
Glucose
Artificial neural networks
Receivers
Lenses
Focusing
Transfer functions
Depth-adaptive conversion
object recognition
spectroscopic imaging
submillimeter wave
terahertz (THz) wave
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4
论文数:
1.5K
被引数:
3.6K
机构
引用论文
Negative Latency Recognition Method for Fine-Grained Gestures Based on Terahertz Radar基于太赫兹雷达的细粒度手势负延迟识别方法
PREAI
分享收藏Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks.png)
MEDICAL PHYSICS
OAAI
MEDICAL PHYSICSIF3.2
OAAI分享收藏Experimental Study on Glass and Polymers: Determining the Optimal Material for Potential Use in Terahertz TechnologyIEEE ACCESS
OAAI
IEEE ACCESSIF3.6
OAAI分享收藏Collective Efficacy of Support Vector Regression With Smoothness Priority in Marine Sensor Data PredictionIEEE ACCESSOAAI
IEEE ACCESSIF3.6
OAAI分享收藏
查看更多内容