Simulation of 3D laser systems

Berginc, Gérard; Jouffroy, M.

doi:10.1109/igarss.2009.5418109

Cited by 9 publications

(6 citation statements)

References 5 publications

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“…Assuming statistical independence of incoherent scattering components is generally accepted if the dimensions of each elementary surface are much larger than the incident wavelength and the correlation length of the statistical process describing the roughness of the surfaces. This leads to the equality: (15) and we get :…”

Section: Lcs Computation Of a Target Meshed Into Randomly Rough Trianmentioning

confidence: 96%

“…Identifying targets or objects concealed by foliage or camouflage is a critical requirement for operations in public safety, law enforcement and defense. The first developed concept is the 3D range profiling system 14,15 . The ladar sensor uses a short laser pulse of one nanosecond with high repetition rate to illuminate the scene (Fig.…”

Section: D and 3d Laser Imagerymentioning

confidence: 99%

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Scattering models for range profiling and 2D-3D laser imagery

Berginc

2014

SPIE Proceedings

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In security operations or medical imaging the main challenge is a need for fast identification, which is possible with laser range profiler or 2D-3D laser imagery. This paper discusses scattering models for High Temporal Resolution Ladar (Laser Detection and Ranging) and 2D-3D imagery. We describe electromagnetic models of 1D, 2D and 3D laser signatures whose surface reflectance of the objects is calculated with the second order Small-Slope Approximation for polarized incident laser wave and a model of effective permittivity. The physics based model is designed to provide accurate results for the scattering from complex objects.

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Section: Lcs Computation Of a Target Meshed Into Randomly Rough Trianmentioning

confidence: 96%

Section: D and 3d Laser Imagerymentioning

confidence: 99%

Scattering models for range profiling and 2D-3D laser imagery

Berginc

2014

SPIE Proceedings

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“…In optics, reflective tomography reconstructs a scene from images of scattered intensity [8]. The idea is to apply a tomographic algorithm on reflective projections [13,11,6,2]: a filtered backprojection. It offers several ways of representing the scene [7,3,5,9] in three-dimensional optical imaging.…”

Section: Reflective Tomographymentioning

confidence: 99%

Multiresolution greedy algorithm dedicated to reflective tomography

Bellet¹

2018

The SMAI Journal of Computational Mathematics

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“…We obtain the three-dimensional reconstruction by a cone-beam algorithm [5], [6], [7] , which is a convolution backprojection algorithm deduced from the Radon transform. This algorithm uses a set of two-dimensional projections which contain the data collected by the pixels of a focal plane area.…”

Section: D Reflective Tomographic Algorithm -Application For Non-conmentioning

confidence: 99%

3D laser imaging for concealed object identification

Berechet¹,

Berginc

Berechet³

2014

SPIE Proceedings

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This paper deals with new optical non-conventional 3D laser imaging. Optical non-conventional imaging explores the advantages of laser imaging to form a three-dimensional image of the scene. 3D laser imaging can be used for threedimensional medical imaging, topography, surveillance, robotic vision because of ability to detect and recognize objects. In this paper, we present a 3D laser imaging for concealed object identification. The objective of this new 3D laser imaging is to provide the user a complete 3D reconstruction of the concealed object from available 2D data limited in number and with low representativeness. The 2D laser data used in this paper come from simulations that are based on the calculation of the laser interactions with the different interfaces of the scene of interest and from experimental results. We show the global 3D reconstruction procedures capable to separate objects from foliage and reconstruct a threedimensional image of the considered object. In this paper, we present examples of reconstruction and completion of three-dimensional images and we analyse the different parameters of the identification process such as resolution, the scenario of camouflage, noise impact and lacunarity degree.

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Simulation of 3D laser systems

Cited by 9 publications

References 5 publications

Scattering models for range profiling and 2D-3D laser imagery

Scattering models for range profiling and 2D-3D laser imagery

Multiresolution greedy algorithm dedicated to reflective tomography

3D laser imaging for concealed object identification

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