Research Article
Multi-spectral Image Filtering Algorithm Based on Convolutional Neural Network
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@INPROCEEDINGS{10.1007/978-3-030-82565-2_34, author={Dan Luo and Rong Hu}, title={Multi-spectral Image Filtering Algorithm Based on Convolutional Neural Network}, proceedings={Multimedia Technology and Enhanced Learning. Third EAI International Conference, ICMTEL 2021, Virtual Event, April 8--9, 2021, Proceedings, Part II}, proceedings_a={ICMTEL PART 2}, year={2021}, month={7}, keywords={Convolutional neural network Multispectral image Image filtering Coarse grain index Edge point}, doi={10.1007/978-3-030-82565-2_34} }- Dan Luo
Rong Hu
Year: 2021
Multi-spectral Image Filtering Algorithm Based on Convolutional Neural Network
ICMTEL PART 2
Springer
DOI: 10.1007/978-3-030-82565-2_34
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.
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