基于热红外遥感技术的中尺度油料燃烧温度场反演实验研究

摘要

The fire of oil depot is one of the most hazardous and common accidents which are normally along with high temperature and high heat.This paper did the inversion identification research of temperature filed of simulated experiment by combining conventional monitoring technology with Airborne Remote Sensing (ABS) to monitor the oil fire.Based on the thermal infrared remote sensing image and the ground measured data,preliminary established Airborne remote sensing statistical model and Single channel inversion model,and inverted the temperature of the fire by established regression model.%油库火灾是油库事故中极其常见、危害特别大的事故之一.油库火灾事故往往伴随着高温高热,利用航空遥感技术对中尺度油库火灾模拟实验的温度场进行了反演识别研究,利用无人机红外监测仪监测了油料的燃烧过程.初步建立了航空遥感统计模型和单通道反演模型,运用建立的回归模型对火场的温度进行了反演.