Parallel Wavelet Transform Method Based on Remotely Sensed Bright Temperature Data from Thermal Radiation

In this paper, a parallel wavelet transform method based on thermal radiation remote sensing bright temperature data is proposed, which is based on the thermal radiation remote sensing bright temperature data provided by the FY-2C satellite, and utilizes the thread pool to manage multiple threads and realize the asynchronous execution of the functions in the task queue, so as to realize the parallelization of the wavelet transform. Experiments show that the parallel algorithm is able to reduce the transform time by half compared with the common serial transform method, and it shows more obvious advantages when transforming large data volumes.