Paper
30 November 2001 Statistical processing of polarization diversity images
Author Affiliations +
Proceedings Volume 10302, Optoelectronic Information Processing: Optics for Information Systems: A Critical Review; 103020E (2001) https://doi.org/10.1117/12.449676
Event: Optoelectronic Information Processing: Optics for Information Systems, 2002, Valencia, Spain
Abstract
Polarization diversity active imaging techniques have the appealing fea­ture of revealing contrasts that do not appear in conventional intensity im­ages. However, the intensity images provided by the system are in general not useful due to their perturbation by atmospheric turbulence and spatial inhomogeneity of laser sources. It is thus preferable to process only the im­age that represents the degree of polarization (DOP) of the reflected light. In this chapter, the analysis will be devoted to the particular case of purely de­polarizing materials which are defined by their property of having diagonal coherency matrices whatever the incident state of polarization. We discuss some statistical results of the "Orthogonal State Contrast Image" (OSCI) which is nothing but the degree of polarization when the coherency matrix is diagonal. We also analyze some estimation properties useful for image processing. These results are illustrated on target detection and segmentation processing tasks. We demonstrate that simple but still very efficient algo­rithms can be developed.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Philippe Refregier and Francois Goudail "Statistical processing of polarization diversity images", Proc. SPIE 10302, Optoelectronic Information Processing: Optics for Information Systems: A Critical Review, 103020E (30 November 2001); https://doi.org/10.1117/12.449676
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Cited by 2 scholarly publications.
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KEYWORDS
Polarization

Image processing

Statistical analysis

Atmospheric turbulence

Finite element methods

Image segmentation

Laser sources

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