遥感在森林火点识别中的应用

The Application of Remote Sensing to Identify Fire Points

在分析MODIS火灾检测通道的基础上,结合图像信息增强处理法、阈值法等多种火点识别处理算法,设计出了一套通过对遥感影像中红外通道的亮度、温度值进行阈值处理的森林火点识别流程,辅以一系列识别和修正方法,能有效地排除各种干扰,识别出火点。实验表明,该方法的识别率在60%以上。

A fire detection flow is designed based on analyzing MODIS fire examination channel, with a kind of fire point identification methods, for example image information enhancement process and threshold to process the brightness and temperature of mid-infrared channel from remote sensing images by threshold. With the help of a series of recognition and correction methods, the flow can exclude much disturbance and identify the fire point effectively. The recognition rate is up to 60% according to the experimental results.