Research on AI Based Band Noise Filtering Method for Remote Sensing Images
In order to improve the accuracy and efficiency of stripe noise removal,the stripe noise filtering method of remote sensing images based on Artificial Intelligence(AI)is studied.The noise features are extracted by Convolutional Neural Networks(CNN),and the noise and signal are separated by combining with the generated countermeasure network,the filtering parameters are optimized by reinforcement learning.Experiments show that this method is superior to traditional methods in terms of peak signal-to-noise ratio and structural similarity,especially in maintaining high image quality under different noise intensities.
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