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首页> 外文会议>Conference on Ecosystems' Dynamics, Agricultural Remote Sensing and Modeling, and Site-Specific Agriculture; Aug 7, 2003; San Diego, California, USA >Bi-spectral Infrared Forest Fire Detection and Analysis Using Classification Techniques
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Bi-spectral Infrared Forest Fire Detection and Analysis Using Classification Techniques

机译：基于分类技术的双光谱红外森林火灾检测与分析

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摘要

Infrared cameras are well established as a useful tool for fire detection, but their use for quantitative forest fire measurements faces difficulties, due to the complex spatial and spectral structure of fires. In this work it is shown that some of these difficulties can be overcome by applying classification techniques, a standard tool for the analysis of satellite multispectral images, to bi-spectral images of fires. Images were acquired by two cameras that operate in the medium infrared (MIR) and thermal infrared (TIR) bands. They provide simultaneous and co-registered images, calibrated in brightness temperatures. The MIR-TIR scatterplot of these images can be used to classify the scene into different fire regions (background, ashes, and several ember and flame regions). It is shown that classification makes possible to obtain quantitative measurements of physical fire parameters like rate of spread, embers temperature, and radiated power in the MIR and TIR bands. An estimation of total radiated power and heat release per unit area is also made and compared with values derived from heat of combustion and fuel consumption.
机译：红外摄像机已经很好地确立为火灾探测的有用工具，但是由于火灾的空间和光谱结构复杂，将其用于定量森林火灾测量面临困难。这项工作表明，通过将分类技术（一种用于分析卫星多光谱图像的标准工具）应用于火灾的双光谱图像，可以克服其中的一些困难。图像是由两个在中红外（MIR）和热红外（TIR）波段工作的相机采集的。它们提供同时和共同注册的图像，这些图像在亮度温度下进行了校准。这些图像的MIR-TIR散点图可用于将场景分类为不同的着火区域（背景，灰烬以及几个余烬和火焰区域）。结果表明，分类使获得物理着火参数的定量测量成为可能，例如在MIR和TIR波段中的扩散速率，余烬温度和辐射功率。还估算了每单位面积的总辐射功率和热量释放，并将其与源自燃烧热和燃料消耗的值进行比较。

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