A Method of Seismic Thermal Anomaly Extraction Based on Time-Space Domain Difference

Abstract

When traditional remote sensing images extract seismic thermal anomalies, in order to eliminate the meteorological impending noise, the spatial difference of the temperature in the study area is used to replace the original temperature value. However, the cloud mask makes the temperature substitution difference not truly represent the corresponding pixel temperature value. In view of the above problems, the present invention discloses a seismic thermal anomaly extraction method based on the time-space domain difference, and then utilizes the skewness anomaly extraction algorithm to extract thermal anomalies. The method includes the following steps: Step 1) Subtract the temperature value at the image pixel each year from the background field average value for many years, and when there is no abnormality ideally, the time domain difference value at this time is a constant value. Step 2) Calculate the difference value in the space domain corresponding to the study area for the time domain difference value of the pixel. When there is no abnormality ideally, the difference value at this time is zero, thereby eliminating the interference caused by clouds and meteorological impending noise. Step 3) Since different objects have different rising and falling temperatures, the skewness anomaly extraction algorithm is used to count the positive skewed anomaly data of the time-space domain difference in the same period.

Description

technical field [0001] The present invention designs a seismic thermal anomaly extraction method based on the time-space domain difference, which can better address the shortcomings of extracting seismic thermal anomalies in cloud mask remote sensing images, and realizes the elimination of meteorological transient noise while reducing Additional errors provide a reference for the extraction of seismic thermal anomalies. Background technique [0002] my country is one of the countries most seriously affected by earthquakes. On July 28, 1976, M S 7.8 Tangshan Earthquake and May 12, 2008 M S The 8.0 Wenchuan earthquake caused heavy casualties and losses, so the monitoring and forecasting of the earthquake is extremely important. In 1988, some scholars discovered that a large area of ​​remote sensing thermal infrared anomalies occurred in Central Asia and the Eastern Mediterranean before the earthquake, which has attracted the attention of scholars in the field of earthquakes ...

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Problems solved by technology

However, the cloud mask makes the temperature substitution difference cannot truly represent the temperature value of the corresponding pixel

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