基于分布式压缩感知的自适应距离选通三维成像

doi:10.12068/j.issn.1005-3026.2021.04.009

东北大学学报（自然科学版） ›› 2021, Vol. 42 ›› Issue (4): 516-523.DOI: 10.12068/j.issn.1005-3026.2021.04.009

基于分布式压缩感知的自适应距离选通三维成像

张娜，王璐，程军娜，田济荣

(中国海洋大学信息科学与工程学院，山东青岛266100)

修回日期:2020-08-18 接受日期:2020-08-18 发布日期:2021-04-15
通讯作者: 张娜
作者简介:张娜(1980-)，女，山东青岛人，中国海洋大学讲师，博士.
基金资助:
国家自然科学基金资助项目(61701462)；山东省自然科学基金资助项目(ZR2014FQ027)；中央高校基本科研业务费专项资金资助项目(201513015).

Adaptive Range-Gated 3D Imaging Based on Distributed Compressed Sensing

ZHANG Na， WANG Lu， CHENG Jun-na， TIAN Ji-rong

School of Information Science and Engineering， Ocean University of China， Qingdao 266100， China.

Revised:2020-08-18 Accepted:2020-08-18 Published:2021-04-15
Contact: ZHANG Na
About author:-
Supported by:
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摘要/Abstract

摘要： 基于距离选通成像时间切片间的相关性，提出分布式压缩感知三维成像方法，有效解决了三维成像庞大数据量与硬件存储性能的冲突.根据相关性构建基于联合稀疏模型的分布式压缩模型，辅助重构部分时间切片.设计一种自适应距离选通方法，根据设定阈值自适应调整选通时间，无需距离先验信息，增加了系统灵活性.结果表明:平均采样率为0.15时，该方法的成像质量比传统方法提高11.124dB，成像距离的平均误差降低6.240.分布式成像方法能够有效减少时间切片冗余信息的采集，为距离选通三维成像提供了一种新的思路.

关键词: 计算成像;水下三维成像;分布式压缩感知;自适应距离选通成像;联合稀疏模型

Abstract: Based on the correlation between time slices of range-gated imaging， a distributed compressed sensing 3D imaging method was proposed， which solved the conflict between a large amount of data and hardware storage performance in 3D imaging. According to the correlation， a distributed compression model based on the joint sparse model was constructed to assist the reconstruction of partial time slices. An adaptive range-gated method was designed， and the gated time was adaptively adjusted according to the set threshold， without distance prior information， which increases system flexibility. The results show that when the average sampling rate is 0.15， the imaging quality of this method is 11.124dB higher than that of the traditional method， and the average error of imaging distance is reduced by 6.240. The distributed imaging method can effectively reduce the collection of time slice redundant information， providing a new idea for range-gated 3D imaging.

Key words: computational imaging; underwater three-dimensional imaging; distributed compressed sensing; adaptive range-gated imaging; joint sparse model

中图分类号:

O438

张娜，王璐，程军娜，田济荣. 基于分布式压缩感知的自适应距离选通三维成像[J]. 东北大学学报（自然科学版）, 2021, 42(4): 516-523.

ZHANG Na， WANG Lu， CHENG Jun-na， TIAN Ji-rong. Adaptive Range-Gated 3D Imaging Based on Distributed Compressed Sensing[J]. Journal of Northeastern University(Natural Science), 2021, 42(4): 516-523.

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基于分布式压缩感知的自适应距离选通三维成像

Adaptive Range-Gated 3D Imaging Based on Distributed Compressed Sensing

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