Share Email Print
cover

Proceedings Paper

An adaptive lidar
Author(s): V. G. Oshlakov; M. I. Andreev; D. D. Malykh
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Using the polarization characteristics of a target and its underlying surface one can change the target contrast range. As the target one can use the compact and discrete structures with different characteristics to reflect electromagnetic waves. An important problem, solved by the adaptive polarization lidar, is to determine the availability and identification of different targets based on their polarization characteristics against the background of underlying surface, which polarization characteristics are unknown. Another important problem of the adaptive polarization lidar is a search for the objects, which polarization characteristics are unknown, against the background of underlying surface, which polarization characteristics are known. The adaptive polarization lidar makes it possible to determine the presence of impurities in sea water. The characteristics of the adaptive polarization lidar undergo variations, i.e., polarization characteristics of a sensing signal and polarization characteristics of the receiver are varied depending on the problem to be solved. One of the versions of construction of the adaptive polarization lidar is considered. The increase of the contrast in the adaptive lidar has been demonstrated by the numerical experiment when sensing hydrosols on the background of the Rayleigh scattering, caused by clear water. The numerical experiment has also demonstrated the increase of the contrast in the adaptive lidar when sensing at two wavelengths of dry haze and dense haze on the background of the Rayleigh scattering, caused by the clear atmosphere. The most effective wavelength was chosen.

Paper Details

Date Published: 10 September 2009
PDF: 12 pages
Proc. SPIE 7473, Remote Sensing of the Ocean, Sea Ice, and Large Water Regions 2009, 74730N (10 September 2009); doi: 10.1117/12.829753
Show Author Affiliations
V. G. Oshlakov, Institute of Atmospheric Optics (Russian Federation)
M. I. Andreev, Institute of Atmospheric Optics (Russian Federation)
D. D. Malykh, Tomsk State Univ. of Controlling Systems and Radioelectronics (Russian Federation)


Published in SPIE Proceedings Vol. 7473:
Remote Sensing of the Ocean, Sea Ice, and Large Water Regions 2009
Charles R. Bostater; Stelios P. Mertikas; Xavier Neyt; Miguel Velez-Reyes, Editor(s)

© SPIE. Terms of Use
Back to Top