LIDAR MONITORING OF INFRARED TARGET DETECTION RANGES THROUGH ADVERSE WEATHER

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Authors
  1. Bissonnette, L.R.
  2. Roya, G.
  3. Theriault, J-M.
Corporate Authors
Defence Research Establishment Valcartier, Valcartier QUE (CAN)
Abstract
Despite recent technical advances, adverse weather still constitutes an important decision factor in the efficient use of infrared sensors. The presence of fog, clouds or precipitation affects both the infrared transmission and background properties of the atmosphere. Taking these effects into account requires the knowledge of the optical parameters of fog, clouds or precipitation which, in general, flutuate too much on a scale of a few kilometers to be predictable with acceptable information for real time, on site decision making. A promising alternative is continuous monitoring of atmospheric aerosol properties with a lidar. The method used in this study is the multiple-field-of-view (MFOV) technique which takes advantage of the information contained in the multiple scattering contributions to solve for both the droplet concentration and effective diameter. We can then use these solutions to derive the atmospheric radiance and transmittance, and calculate from there the contrast-to-noise ratio of infrared images of small targets. Using actual lidar probings, examples of performance curves of a generic surveillance sensor are obtained for two types of targets. Results show that performance can drastically change over an interval as short as one minute, which emphasizes the need for real time, on site monitoring in adverse weather.
Keywords
Laser radar;Lidar inversion;Multiple field of view (MFOV);Adverse weather;MFOV (Multiple Field Of View);Atmospheric transmittance;Lidar monitoring;Detection ranges;Adverse weather
Date of publication
01 Jul 1998
Number of Pages
15
Reprinted from
SPIE, Vol 3433, 1998, p 139-150
DSTKIM No
98-02786
CANDIS No
509719
Format(s):
Hardcopy;Document Image stored on Optical Disk

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