Yimeng Zhu , Cuiping Yu , Youwei Yang , Qinghui Pan , Yong Shuai
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引用次数: 0
Abstract
Single-photon light detection and ranging (SP-LiDAR), which is recognized for its single-photon sensitivity and picosecond-level time resolution, excels at extracting target information from weak signals by accumulating multiple counts. This technology has been extensively applied in precise cartographic mapping and accurate navigation of autonomous vehicles. Owing to the advantages of image reconstruction algorithms in single-photon high-resolution real-time imaging, including low cost, minimal technical complexity, and superior reconstruction quality, these algorithms have become a focal point in single-photon imaging research. To address the challenges of sparse signals and intense noise in single-photon imaging, researchers have employed regularized optimization algorithms, Bayesian probability models and deep learning architectures to extract target features under adverse conditions, significantly enhancing the performance of imaging systems. Based on the detection and imaging principles of single-photon LiDAR, this paper critically reviews typical research on image reconstruction algorithms in photon-starved regimes and their advancements for complex detection targets and attenuative transmission media and discusses potential future directions for these algorithms.
期刊介绍:
Optics and Lasers in Engineering aims at providing an international forum for the interchange of information on the development of optical techniques and laser technology in engineering. Emphasis is placed on contributions targeted at the practical use of methods and devices, the development and enhancement of solutions and new theoretical concepts for experimental methods.
Optics and Lasers in Engineering reflects the main areas in which optical methods are being used and developed for an engineering environment. Manuscripts should offer clear evidence of novelty and significance. Papers focusing on parameter optimization or computational issues are not suitable. Similarly, papers focussed on an application rather than the optical method fall outside the journal''s scope. The scope of the journal is defined to include the following:
-Optical Metrology-
Optical Methods for 3D visualization and virtual engineering-
Optical Techniques for Microsystems-
Imaging, Microscopy and Adaptive Optics-
Computational Imaging-
Laser methods in manufacturing-
Integrated optical and photonic sensors-
Optics and Photonics in Life Science-
Hyperspectral and spectroscopic methods-
Infrared and Terahertz techniques