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27 June 2023 Remote sensing image fusion based on MobileViT and spatial detail reconstruction
Kejun Liu, Xiaorong Xue, Qianqian Liu, Kun Zhang
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Proceedings Volume 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022); 127052A (2023) https://doi.org/10.1117/12.2680573
Event: Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 2022, Nanjing, China
Abstract
The fusion of remote sensing images has made important progress in recent years, and the fusion of low-resolution hyperspectral images and high-resolution multispectral images into high-resolution hyperspectral images is also a popular direction at present. How to make the spectral information fidelity and spatial detail enhancement of the fused images achieve better results is the key problem to be solved, and the methods of convolutional neural network and deep learning have achieved good results in this area in recent years. In this paper, MobileViT is introduced based on neural network to improve the accuracy of the image during initial fusion, which is divided into two parts, the feature extraction part is added to MobileViT after fusion by neural network to achieve a better optimization effect; the reconstruction part after fusion restores the image information by constraining the space and detail loss. The Experiment result on two commonly used hyperspectral datasets show that the method in this paper has better performance.
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Kejun Liu, Xiaorong Xue, Qianqian Liu, and Kun Zhang "Remote sensing image fusion based on MobileViT and spatial detail reconstruction", Proc. SPIE 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 127052A (27 June 2023); https://doi.org/10.1117/12.2680573
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KEYWORDS
Image fusion
Image restoration
Image quality
Remote sensing
Convolution
Multispectral imaging
Education and training
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