Parallel wavelet transform method based on heat radiation remote sensing brightness temperature data

The invention discloses a parallel wavelet transform method based on heat radiation remote sensing brightness temperature data, and the method comprises the steps: data selection and preprocessing, initialization of a thread pool and a task, execution of a wavelet transform function, output of time-consuming information, ending of a main thread, and the like. And meanwhile, the main characteristics of the signal are not influenced, and the thermal radiation brightness temperature data can be more efficiently subjected to wavelet transform processing through a parallel computing technology, so that the processing precision and efficiency are improved. 本发明公开了一种基于热辐射遥感亮温数据的并行小波变换方法，所述方法包括：数据选取及预处理、初始化线程池和任务、执行小波变换函数、输出耗时信息、主线程结束等步骤，这种方法能够有效地去除信号中的噪声成分，同时保持信号的主要特征不受影响通过并行计算技术，可以更加高效地对热辐射亮温数据进行小波变换处理，从而提高处理的精度和效率。