太赫兹辐射
计算机科学
像素
探测器
人工智能
方案(数学)
计算机视觉
图像处理
光学
模式识别(心理学)
图像(数学)
物理
电信
数学
数学分析
作者
Junhao Yao,Shuming Jiao,Xinke Wang,Yan Zhang
标识
DOI:10.1016/j.optcom.2023.130016
摘要
A fast object classification scheme in terahertz (THz) domain is proposed. This scheme combines machine learning and THz single-pixel imaging (SPI) technologies but skips the image reconstruction in SPI. It can directly perform the linear pattern recognition task based on a few single-pixel values. This approach has advantages of low experimental complexity, simple optimization algorithms, and all-optical processing. It is verified in simulation and experiment with a classification accuracy of 90%. Our proposed scheme paves an avenue for fast classification of THz images in practical applications.
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