Real-time tracing and location for critical parts of moving objects with single-pixel detection

被引：1

作者：

Gu, Yunsong ^{[1
]}

Feng, Shanguo ^{[1
]}

Wang, Huahua ^{[1
]}

Xiao, Hongyue ^{[1
]}

Zhang, Changqi ^{[1
]}

Jiang, Hongwei ^{[1
]}

Zhang, Ze ^{[2
]}

Gao, Lu ^{[1
]}

机构：

[1] China Univ Geosci, Sch Sci, Beijing 100083, Peoples R China

[2] Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China

来源：

OPTICS EXPRESS | 2024年 / 32卷 / 15期

基金：

中国国家自然科学基金;

关键词：

All Open Access; Gold;

D O I：

10.1364/OE.528687

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

A scenario based on single-pixel input of recognizing and tracing the critical parts of the moving targets has been proposed. The one-dimensional single-pixel matrix is achieved by bucket measurement by making use of pre-training illumination suitable for the target datasets. The designed recognition network can export the real-time position coordinates of the key components of the moving targets through single-pixel detection. Compared with the general random illumination light field, the results of the pre-training illumination show significant improvement in both recognition efficiency and accuracy. The recognition efficiency can reach 100Hz in the experimental detection of moving model planes. It may have important application prospects in military target tracking and hyperspectral remote sensing. (c) 2024 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement

引用

页码：26808 / 26818

页数：11

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