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Proceedings Paper

Laser real-time system for detection, tracking, and recognition
Author(s): Borys M. Kolisnychenko; Sergey N. Savenkov; Valeri V. Marienko
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Paper Abstract

The system created has an accuracy of 0.05% for single measurements. It is reached due to controlled electro-optical polarization probing and recieving channels of the system. This makes it possible to fully automate processes of measurement and calibration of system. It also makes available operational elasticity of the system: choice of measurement parameters (whole Stokes vector, Mueller matrix, or particularly some of their elements) only by means of software. Measurement time reached a few microseconds. Exceptions of influence of optical radiation background component of measurement results without use of interference filter is a distinction of this system. It considerably increases the level of interference suppression. It is possible due to intensity modulation of optical radiation is sysem probing channel with simultaneous modulation of polarization. Other distictions of this system include the concept of processing received information. On the basis of this concept the following statement is laid: an arbitrary Mueller matrix is always presented on basis of amplitude and phase anisotropy matrices. There are some very important consequences of this statement. Namely it allows us to characterize suitably the physical behavior of the object with respect to polarization phenomena and to perform a general classification of objects based on the above mentioned approach. Furthermore, it is possible on this basis to synthesize the polarization systems with given characteristics.

Paper Details

Date Published: 5 July 1995
PDF: 7 pages
Proc. SPIE 2485, Automatic Object Recognition V, (5 July 1995); doi: 10.1117/12.213087
Show Author Affiliations
Borys M. Kolisnychenko, Kiev Taras Shevchenko Univ. (Ukraine)
Sergey N. Savenkov, Kiev Taras Shevchenko Univ. (Ukraine)
Valeri V. Marienko, Kiev Taras Shevchenko Univ. (Ukraine)

Published in SPIE Proceedings Vol. 2485:
Automatic Object Recognition V
Firooz A. Sadjadi, Editor(s)

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