Super-Resolution of Satellite Lidars for Forest Studies Via Generative Adversarial Networks

Andrés Ramírez-Jaime; Nestor Porras-Diaz; Gonzalo R. Arce; David J. Harding; Mark Stephen; James MacKinnon

doi:10.1109/igarss53475.2024.10641698

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Super-Resolution of Satellite Lidars for Forest Studies Via Generative Adversarial Networks

Andrés Ramírez-Jaime Nestor Porras-Diaz Gonzalo R. Arce David J. Harding Mark Stephen James MacKinnon

Year: 2024 Pages: 2271-2274

DOI: 10.1109/igarss53475.2024.10641698

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Keywords:

Adversarial system Generative grammar Computer science Generative adversarial network Satellite Remote sensing Artificial intelligence Resolution (logic) Deep learning Geography Engineering Aerospace engineering

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Topics

Remote Sensing and LiDAR Applications

Physical Sciences → Environmental Science → Environmental Engineering

Remote Sensing in Agriculture

Physical Sciences → Environmental Science → Ecology

Plant Water Relations and Carbon Dynamics

Physical Sciences → Environmental Science → Global and Planetary Change

Super-Resolution of Satellite Lidars for Forest Studies Via Generative Adversarial Networks

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Citation History

Topics

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