Signal-to-noise performance analysis of streak tube imaging lidar systems II Theoretical analysis and discussion

Wu, Lei; Wang, Xiaopeng; Yang, Hongru; Yu, Bing; Chen, Chao; Yang, Bin; Liang, Yuan; Wu, Lipeng; Zhan-li, Xue; Li, Gaoping; Wu, Baoning

doi:10.1364/ao.51.008836

Cited by 12 publications

(4 citation statements)

References 33 publications

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“…The cascaded model presented here is also applicable for the STIL system based on the multislit streak tube receiver and for other type of imaging lidar system. The implementation of the cascaded model for predicting and evaluating the signalto-noise performance of an external intensified STIL system will be described and discussed in the companion paper [44].…”

Section: Discussionmentioning

confidence: 99%

Signal-to-noise performance analysis of streak tube imaging lidar systems I Cascaded model

Yang¹,

Wu²,

Wang³

et al. 2012

Appl. Opt.

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Streak tube imaging lidar (STIL) is an active imaging system using a pulsed laser transmitter and a streak tube receiver to produce 3D range and intensity imagery. The STIL has recently attracted a great deal of interest and attention due to its advantages of wide azimuth field-of-view, high range and angle resolution, and high frame rate. This work investigates the signal-to-noise performance of STIL systems. A theoretical model for characterizing the signal-to-noise performance of the STIL system with an internal or external intensified streak tube receiver is presented, based on the linear cascaded systems theory of signal and noise propagation. The STIL system is decomposed into a series of cascaded imaging chains whose signal and noise transfer properties are described by the general (or the spatial-frequency dependent) noise factors (NFs). Expressions for the general NFs of the cascaded chains (or the main components) in the STIL system are derived. The work presented here is useful for the design and evaluation of STIL systems.

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Section: Discussionmentioning

confidence: 99%

Signal-to-noise performance analysis of streak tube imaging lidar systems I Cascaded model

Yang¹,

Wu²,

Wang³

et al. 2012

Appl. Opt.

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“…In 2009, Wang proposed a lidar equation based on the Lambert law and finished an imaging experiment of the MS-STIL from 2500 m away and with 23 km visibility [16]. In 2012, Yang and Wu investigated the signal-to-noise performance of STIL within the framework of the linear cascaded systems theory and analyzed some factors that limit the signal-to-noise performance of the external intensified STIL system [17,18]. In 2013, Wei proposed a method used to accurately measure the minimum detectable energy density of a streak tube using a photon counter [19].…”

Section: Introductionmentioning

confidence: 99%

Design and modeling of three-dimensional laser imaging system based on streak tube

et al. 2017

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In the streak tube laser imaging system, there are two conflicts: the first is between high spatial resolution and wide field of view (FOV). The second is between high temporal resolution and deep depth of field (DOF). In this paper, a new non-scanning streak tube laser imaging system is presented. A microlens array with three different apertures is used to non-uniformly collect data from the image plane so the conflict between high spatial resolution and wide FOV is relieved and the detectable range of system is also increased. A remapping fiber optics with special design is used to realign the image plane on the two photocathodes of streak tubes to realize the operation mode of the two streak tubes so the conflict between high temporal resolution and deep DOF is relieved. The mathematical model of the entire imaging system is established based on the range equation. The structure parameters of the receiving optical system are optimized in order to achieve the optimal utilization rate of light energy. In the third, three simulated contrast experiments are organized, and the experiment results demonstrate that the imaging system proposed in this paper possesses properties of higher spatial resolution, wider FOV, higher temporal resolution, deeper DOF, and larger detectable range.

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“…Recently, a multislit streak tube has been used in 3D imaging lidar [7,8], such as multispectral and hyperspectral imaging lidar [9], flash imaging lidar [10,11], and polarization imaging lidar [12,13]. Yang et al presented a general signal-to-noise performance analysis of a linear cascaded STIL system [14], and equations for the general noise factors of the cascaded chains are derived in [15]. A new type of 3D imaging lidar system based on a picosecond streak tube camera has been established in our laboratory [16].…”

Section: Introductionmentioning

confidence: 99%

Streak image denoising and segmentation using adaptive Gaussian guided filter

Jiang

Guo

2014

Appl. Opt.

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In streak tube imaging lidar (STIL), streak images are obtained using a CCD camera. However, noise in the captured streak images can greatly affect the quality of reconstructed 3D contrast and range images. The greatest challenge for streak image denoising is reducing the noise while preserving details. In this paper, we propose an adaptive Gaussian guided filter (AGGF) for noise removal and detail enhancement of streak images. The proposed algorithm is based on a guided filter (GF) and part of an adaptive bilateral filter (ABF). In the AGGF, the details are enhanced by optimizing the offset parameter. AGGF-denoised streak images are significantly sharper than those denoised by the GF. Moreover, the AGGF is a fast linear time algorithm achieved by recursively implementing a Gaussian filter kernel. Experimentally, AGGF demonstrates its capacity to preserve edges and thin structures and outperforms the existing bilateral filter and domain transform filter in terms of both visual quality and peak signal-to-noise ratio performance.

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Signal-to-noise performance analysis of streak tube imaging lidar systems II Theoretical analysis and discussion

Cited by 12 publications

References 33 publications

Signal-to-noise performance analysis of streak tube imaging lidar systems I Cascaded model

Signal-to-noise performance analysis of streak tube imaging lidar systems I Cascaded model

Design and modeling of three-dimensional laser imaging system based on streak tube

Streak image denoising and segmentation using adaptive Gaussian guided filter

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