Method for detecting high-temperature heat abnormality based on thermal infrared remote sensing data

Abstract

The invention discloses a method for detecting high-temperature thermal abnormality based on thermal infrared remote sensing data. The method comprises the following steps of performing atmosphere correction, so as to obtain the reflection rate of a visible light wave band and the spectrum radiation brightness of a thermal infrared wave band; removing a water body in an image through water body masking; calculating the brightness temperature of each wave band; calculating the thermal abnormality index; extracting the thermal abnormality point; comparing with a high-resolution image, and verifying the accuracy. The method has the advantages that the thermal abnormality point with temperature being 400K or above can be quickly extracted, and the confidence degree about the extracted point capable of determining the existence of the thermal abnormality reaches 90% or above; the index accuracy is high, the operation is simple and rapid, the extracting accuracy is higher at night, and the method can be used for quickly extracting thermal abnormality according to the data at night.

Description

technical field [0001] The invention relates to a method for detecting high temperature thermal anomalies in cities, in particular to a method for detecting high temperature thermal anomalies in cities based on thermal infrared remote sensing data. Background technique [0002] For the surface of the earth, the concept of thermal anomaly can be understood from a macro perspective as a phenomenon in which the temperature is abnormally high relative to the background temperature. Thermal anomalies on the Earth's surface mainly include volcanic activity, thermal anomalies before seismic activity, biological combustion, industrial heat sources, and man-made heat. These thermal anomalies have varying degrees of impact on human life. For the study of thermal anomalies on the earth's surface, there are studies on urban heat islands, discussing the impact of extreme heat phenomena on sudden death; or discussing the spatio-temporal distribution of thermal anomalies in suburban areas...

AI Technical Summary

Problems solved by technology

This type of method uses the increased radiance of high temperature in the mid-infrared and thermal infrared to detect thermal anomalies, but the determination of the threshold of the candidate thermal anomaly points needs to be judged by moving the window and context. The process is cumbersome and complicated, and the temperature that can be detected The lower limit is around 500-600K, which cannot be identified and monitored for many thermal anomalies in cities (such as industrial heat sources between 400-500K)

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