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Erschienen in:
2021 | OriginalPaper | Buchkapitel
Multi-spectral Image Filtering Algorithm Based on Convolutional Neural Network
verfasst von : Dan Luo, Rong Hu
Erschienen in: Multimedia Technology and Enhanced Learning
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Abstract
In order to solve the problem of long processing time and poor processing effect of traditional methods, a multispectral image filtering algorithm based on convolutional neural network is proposed. Based on convolution neural network, the spectrum image features are defined, and the image SNR is registered. Based on Fourier transform, the improved algorithm of multi spectrum superposition is used to realize the mean filtering of multi spectrum image. The experimental results show that this method has higher stability and effectiveness in the actual operation process, and the image filtering time is shorter. The experimental results prove the effectiveness of the algorithm.