Based on the general GPU parallel computing technology, combined with the characteristics of remote sensing image data fusion processing, using NVIDIA\'s CUDA programming framework, the parallel research and implementation of the BROVEY transform and YIQ transform fusion algorithm on its GPU platform were carried out. The experimental results show that as the computational complexity of the remote sensing image fusion algorithm and the scale of the fusion processing problem gradually increase, the acceleration performance advantage of GPU parallel processing also gradually increases. GPU general computing technology has broad application prospects in the field of remote sensing information processing.
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