Super Resolution Approach Using Generative Adversarial Network Models for Improving Satellite Image Resolution

Ferdinand Pineda; V. A. Ayma; Robert Aduviri; César Beltrán

doi:10.1007/978-3-030-46140-9_27

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Super Resolution Approach Using Generative Adversarial Network Models for Improving Satellite Image Resolution

Ferdinand Pineda V. A. Ayma Robert Aduviri César Beltrán

Year: 2020 Communications in computer and information science Pages: 291-298 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-46140-9_27

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Keywords:

Computer science Satellite Image resolution Similarity (geometry) Artificial intelligence Generative adversarial network Remote sensing Computer vision Image (mathematics) Superresolution Pattern recognition (psychology) Geography

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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

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Super Resolution Approach Using Generative Adversarial Network Models for Improving Satellite Image Resolution

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