Multi-scale hybrid attention graph convolution neural network for remote sensing images super-resolution

Guojun Liang; U KinTak; Haichang Yin; Jin Liu; Huibin Luo

doi:10.1016/j.sigpro.2023.108954

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Multi-scale hybrid attention graph convolution neural network for remote sensing images super-resolution

Guojun Liang U KinTak Haichang Yin Jin Liu Huibin Luo

Year: 2023 Journal: Signal Processing Vol: 207 Pages: 108954-108954 Publisher: Elsevier BV

DOI: 10.1016/j.sigpro.2023.108954

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Keywords:

Computer science Remote sensing Graph Convolution (computer science) Artificial intelligence Scale (ratio) Channel (broadcasting) Artificial neural network Image resolution Deep learning Pattern recognition (psychology) Algorithm Computer vision Theoretical computer science Geography Telecommunications

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Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multi-scale hybrid attention graph convolution neural network for remote sensing images super-resolution

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