基于多时相热红外遥感的全天候地表温度动态监测研究

Study on All-weather Dynamic Monitoring of Ground Surface Temperature Based on Multi-temporal Thermal Infrared Remote Sensing

为提高全天候地表温度动态监测的精度,提出基于多时相热红外遥感的全天候地表温度动态监测方法。采用多尺度小波分解,构建多时相热红外遥感成像模型,采集地表温度统计序列,根据采集结果,提取地表温度动态监测多时相热红外特征;结合图像融合滤波方法,进行图像降噪处理,并通过测度融合分解,获取图像灰度像素值,采用信息增强方法,对全天候地表温度红外遥感图像增强处理,在增强的视觉信息分布空间中,进行全天候地表温度动态监测。仿真结果表明,采用该方法进行多时相热红外遥感下的全天候地表温度动态监测的准确性较高,输出误差率能够保持在0.10%以下。该方法的最长监测时间仅为13 s,监测时间较短。

In order to improve the accuracy of all-weather ground surface temperature dynamic monitoring,an all-weather ground surface 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 sequence 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 processing is carried out,and the gray pixel value of the image is obtained through measurement fusion decomposition.The information enhancement 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 simulation results show that the method has high accuracy for all-weather dynamic monitoring of ground surface temperature under multitemporal 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.