Paper
15 October 2012 Scattering computation for 3D laser imagery and reconstruction algorithms
Author Affiliations +
Abstract
This paper addresses non-conventional three-dimensional imaging with laser systems which explores the advantages of laser imagery to form a three-dimensional image of the scene. In this paper, we present the 3D laser scattering simulation of objects hidden behind porous occluders, such as foliage or camouflage. The physics based model presented in this paper is designed to provide accurate results but also to include all the electromagnetic interaction mechanisms with the different elements of the scene. A 3D laser cross-section computer model is used to develop reconstruction algorithms to obtain a high-resolved three-dimensional image. Synthetic images of three-dimensional objects are based on extraction of laser backscattered signals. But 3D reconstruction must take into account sparse collected data and reconstruction algorithms must solve a complex multi-parameter inverse problem. The objective of our paper is also to present new algorithmic approaches for the generation of 3D surface data from 3D sparse point clouds corresponding to our reconstruction algorithm. The role of this type of algorithmic process is to complete the 3D image at satisfactory levels for reliable identification of concealed objects. Identifying targets or objects concealed by foliage or camouflage is a critical requirement for operations in public safety, law enforcement and defense.
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Ion Berechet, Gérard Berginc, and Stefan Berechet "Scattering computation for 3D laser imagery and reconstruction algorithms", Proc. SPIE 8495, Reflection, Scattering, and Diffraction from Surfaces III, 84950P (15 October 2012); https://doi.org/10.1117/12.929135
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KEYWORDS
Clouds

3D modeling

Reconstruction algorithms

3D image processing

Laser scattering

Scattering

3D acquisition

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