Paper
15 November 1993 Surveillance sensor for autonomous wildfire detection
Jan S. de Vries, Rob A. W. Kemp
Author Affiliations +
Abstract
Autonomous wildfire detection systems may help to reduce hazards resulting from large wildland fires. In many situations wildfires start in the duff below trees and shrubs, which are hidden from direct view by groundbased sensors overlooking forests and wildlands. Mid- and thermal infrared measurements only detect wildfires when the fire has become a crownfire, and, by then, it usually has developed into a large wildfire. Therefore, the early discovery of wildfires using groundbased, autonomous sensors should be performed by detecting smoke clouds rather than the heat of the fire, since smoke becomes earlier visible above the trees as a result of convection than the heat of the fire. A demonstration sensor is being developed to show the feasibility of an affordable system for autonomous wildland fire detection. The system is designed to minimize false alarms by simultaneously analyzing the temporal, spatial and spectral information in the acquired imagery. The groundbased sensor will be horizon scanning and will employ linear CCD's for better contrast sensitivity in three different spectral bands.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jan S. de Vries and Rob A. W. Kemp "Surveillance sensor for autonomous wildfire detection", Proc. SPIE 1952, Surveillance Technologies and Imaging Components, (15 November 1993); https://doi.org/10.1117/12.161400
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Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Surveillance

CCD image sensors

Clouds

Vegetation

Atmospheric particles

Infrared sensors

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