Semianalytic Monte Carlo radiative transfer model for oceanographic lidar systems

Poole, L. R.; Venable, D. D.; Campbell, J. W.

doi:10.1364/ao.20.003653

Cited by 100 publications

(44 citation statements)

References 5 publications

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“…8,27,28,42,43 Using this method, a portion of scattered intensity is collected after a photon reaches each new position within the medium. This "partial photon" intensity I partial is calculated by multiplying the probability that the photon is scattered in the direction of the surface Fðθ s ; 0Þ by the probability that it will reach surface according to the Beer-Lambert law e −ðμ s þμ a Þz :…”

Section: Semi-analytical Approachmentioning

confidence: 99%

Open source software for electric field Monte Carlo simulation of coherent backscattering in biological media containing birefringence

Radosevich¹,

Rogers²,

Capoglu³

et al. 2012

J. Biomed. Opt

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Abstract.We present an open source electric field tracking Monte Carlo program to model backscattering in biological media containing birefringence, with computation of the coherent backscattering phenomenon as an example. These simulations enable the modeling of tissue scattering as a statistically homogeneous continuous random media under the Whittle-Matérn model, which includes the Henyey-Greenstein phase function as a special case, or as a composition of discrete spherical scatterers under Mie theory. The calculation of the amplitude scattering matrix for the above two cases as well as the implementation of birefringence using the Jones N-matrix formalism is presented. For ease of operator use and data processing, our simulation incorporates a graphical user interface written in MATLAB to interact with the underlying C code. Additionally, an increase in computational speed is achieved through implementation of message passing interface and the semi-analytical approach. Finally, we provide demonstrations of the results of our simulation for purely scattering media and scattering media containing linear birefringence.

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Section: Semi-analytical Approachmentioning

confidence: 99%

Open source software for electric field Monte Carlo simulation of coherent backscattering in biological media containing birefringence

Radosevich¹,

Rogers²,

Capoglu³

et al. 2012

J. Biomed. Opt

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“…(2) and (3) may become more complicated due to the possible presence of a multiple-scattered component. However, simulations run on using a semi-analytical Monte Carlo treatment as described by Poole et al 9 showed us that, under our experimental conditions, this contribution was limited because of both the small numerical aperture of the detection system and the relatively low scattering coefficients (c < 1 m -1 ). Figure 1 describes the experimental set-up used in the past within our laboratory.…”

Section: B(t)= W(t)* E(t)mentioning

confidence: 85%

Experimentally based simulations on modulated lidar for shallow underwater target detection and localization

et al. 2010

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Light detection and ranging (LIDAR) is currently used for bathymetric measurement or underwater target detection. A new underwater-target detection scheme named modulated lidar was recently proposed. The study reported here deals with optimization of the modulation process to be applied under such detection conditions. A theoretical model was extracted from available experimental results by deconvolution and further used to simulate realistic backscattered signals for the development of a new modulation scheme. Then, an optimum set of amplitude modulation code parameters was obtained by maximizing the target signal-to-noise ratio. This paper will highlight some particularly promising waveform configurations.

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“…A major enhancement would be the inclusion of variance reduction techniques to relax the computational expense of the presented simulations, especially statistical estimation [16][17][18][36][37][38] . This would reduce variance and make the described simulations more applicable to problems studied, for example, in backscattered energy density by Megaloudis et al 39 .…”

Section: Discussionmentioning

confidence: 99%

Monte Carlo method for the analysis of laser safety for a high-powered lidar system under different atmospheric conditions

Stillwell

Pilewskie

Thayer

et al. 2017

Journal of Laser Applications

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1A major concern of high-powered atmospheric lidar systems is eye safety. Atmospheric lidars are often run unattended in adverse weather conditions where scattering redirects laser energy from the main beam. These naturally varying "soft targets" (such as fog and precipitation) are not accounted for in ANSI standards but, through multiple scattering events, can potentially create adverse viewing conditions. This . In all cases, the ANSI calculated NOHD and NHZ are larger than the hazard zones that include scattering but the size of the zones is inextricably linked to the type of scattering ignored in the standard NOHD and NHZ calculations.

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Semianalytic Monte Carlo radiative transfer model for oceanographic lidar systems

Cited by 100 publications

References 5 publications

Open source software for electric field Monte Carlo simulation of coherent backscattering in biological media containing birefringence

Open source software for electric field Monte Carlo simulation of coherent backscattering in biological media containing birefringence

Experimentally based simulations on modulated lidar for shallow underwater target detection and localization

Monte Carlo method for the analysis of laser safety for a high-powered lidar system under different atmospheric conditions

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