Determination of wind roughness characteristics based on an underwater image of the sea surface

Molkov, A.A.; Долин, Л. С.

doi:10.1134/s0001433812050088

Cited by 21 publications

(11 citation statements)

References 3 publications

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“…Using this assumption, the method of determining the surface-slope variance and, hence, the wind velocity from the area of the accumulated image of the underwater solar path is formulated in [2]. The light scattering in water leads to the formation of the light background in the accumulated image of the underwater solar path, which impedes the solution of the inverse problem.…”

Section: Simulation and Analysis Of The Accumulated Image Of The Undementioning

confidence: 99%

“…Equation (8) was used in [1,2] when obtaining the statistical moments of an image of the underwater solar path, which were used as the basis for developing the algorithms for the wave-parameter reconstruction.…”

Section: The Model Of An Instantaneous Image Of the Underwater Solar mentioning

confidence: 99%

“…The model of an instantaneous image of the lower side of a random rough water surface, which was developed in the geometrical-optics approximation, is proposed in [1][2][3]. The mathematical techniques of the radiative transfer theory in turbid media and the laws Here, Σ is the rough water surface, r Σ is the coordinate of the point on the surface, N is the normal to the surface at the point r Σ , and r r is the coordinate of the opticalreceiver location point.…”

Section: The Model Of An Instantaneous Image Of the Underwater Solar mentioning

confidence: 99%

“…The above-mentioned systems can also be used as tools for hydrophysical studies. In particular, the statistical processing of images of the lower side of the sea surface, which is observed in natural light, allows one to obtain the characteristics of the sea waves and their variation under the influence of the surfactant films [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

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The Possibility of Determining Optical Properties of Water from the Image of the Underwater Solar Path

Molkov

Долин

2016

Radiophys Quantum El

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We study the possibility of determining the inherent hydrooptical characteristics of water using the underwater-vision means. Analytical models of the instantaneous and accumulated images of the underwater solar path, which is formed by direct, singly scattered, and multiply scattered light, are proposed. The optical depths at which the contribution of the water-scattered light to the apparent radiance of the surface becomes predominant are estimated using numerical simulation. Algorithms for reconstructing the water scattering and attenuation coefficients from the accumulated image of the underwater solar path are developed. The results of the algorithm evaluation using the data of a full-scale experiment are presented.

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Section: Simulation and Analysis Of The Accumulated Image Of The Undementioning

confidence: 99%

Section: The Model Of An Instantaneous Image Of the Underwater Solar mentioning

confidence: 99%

Section: The Model Of An Instantaneous Image Of the Underwater Solar mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Possibility of Determining Optical Properties of Water from the Image of the Underwater Solar Path

Molkov

Долин

2016

Radiophys Quantum El

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“…A model to characterize WAI slope and curvature variances and the spatial correlation of slopes, was proposed in[32].…”

mentioning

confidence: 99%

Triangulation in random refractive distortions

Alterman

Schechner

Swirski

2013

IEEE International Conference on Computational Photography (ICCP)

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Random refraction occurs in turbulence and through a wavy water-air interface. It creates distortion that changes in space, time and with viewpoint. Localizing objects in three dimensions (3D) despite this random distortion is important to some predators and also to submariners avoiding the salient use of periscopes. We take a multiview approach to this task. Refracted distortion statistics induce a prob-abilistic relation between any pixel location and a line of sight in space. Measurements of an object's random projection from multiple views and times lead to a likelihood function of the object's 3D location. The likelihood leads to estimates of the 3D location and its uncertainty. Furthermore, multiview images acquired simultaneously in a wide stereo baseline have uncorrelated distortions. This helps reduce the acquisition time needed for localization. The method is demonstrated in stereoscopic video sequences, both in a lab and a swimming pool.

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