Supervised-unsupervised combined deep convolutional neural networks for high-fidelity pansharpening

Qiang Liu; Xiangchao Meng; Feng Shao; Shutao Li

doi:10.1016/j.inffus.2022.08.018

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JOURNAL ARTICLE

Supervised-unsupervised combined deep convolutional neural networks for high-fidelity pansharpening

Qiang Liu Xiangchao Meng Feng Shao Shutao Li

Year: 2022 Journal: Information Fusion Vol: 89 Pages: 292-304 Publisher: Elsevier BV

DOI: 10.1016/j.inffus.2022.08.018

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Keywords:

Computer science Artificial intelligence Convolutional neural network Panchromatic film Pattern recognition (psychology) Robustness (evolution) Image resolution Multispectral image Fidelity

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Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Image Enhancement Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Supervised-unsupervised combined deep convolutional neural networks for high-fidelity pansharpening

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