Study on All-weather Dynamic Monitoring of Ground Surface Temperature Based on Multi-temporal Thermal Infrared Remote Sensing
In order to improve the accuracy of all-weather ground surface temperature dynamic monitoring,an all-weather ground sur-face temperature dynamic monitoring method based on multi-temporal thermal infrared remote sensing is proposed. The multi-scale wavelet decomposition is used to construct the multi-temporal thermal infrared remote sensing imaging model,collect the statistical se-quence of ground surface temperature,and extract the multi-temporal thermal infrared characteristics of dynamic monitoring of ground surface temperature according to the acquisition results;combined with the image fusion filtering method,the image denoising process-ing is carried out,and the gray pixel value of the image is obtained through measurement fusion decomposition. The information en-hancement method is used to enhance the infrared remote sensing images of all-weather ground surface temperature,and the dynamic monitoring of all-weather ground surface temperature is carried out in the enhanced visual information distribution space. The simula-tion results show that the method has high accuracy for all-weather dynamic monitoring of ground surface temperature under multi-temporal thermal infrared remote sensing,and the output error rate can be kept below 0.10％. The longest monitoring time of this method is only 13 seconds,and the monitoring time is short.
万方数据
维普
