Techniques for reducing false alarms in infrared forest-fire automatic detection systems

被引：26

作者：

Ollero, A ^{[1
]}

Arrue, B ^{[1
]}

Martinez, JR ^{[1
]}

Murillo, JJ ^{[1
]}

机构：

[1] Univ Seville, Escuela Super Ingn, Dept Ingn Sistemas & Automat, Seville 41092, Spain

来源：

CONTROL ENGINEERING PRACTICE | 1999年 / 7卷 / 01期

关键词：

image processing; pattern recognition; infrared detectors; environmental engineering; telemetry;

D O I：

10.1016/S0967-0661(98)00141-5

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents techniques to reduce false alarms in forest-fire detection systems based on infrared cameras. Several software components to implement these techniques are discussed. The components are based on thresholds, oscillation detection, matching of visual and infrared images, memory, meteorological information, motion, size, shape, solar conditions and location. The paper includes a description of experiments in two forest environments, showing the ability of the proposed techniques to discriminate between forest fires and false alarms. (C) 1999 Elsevier Science Ltd. All rights reserved.

引用

页码：123 / 131

页数：9