Yu Tao

Orcid: 0000-0001-9170-6655

Affiliations:
  • University College London, Mullard Space Science Laboratory, Department of Space and Climate Physics, UK
  • Free University of Berlin, Planetary Sciences and Remote Sensing Group, Department of Earth Sciences, Germany


According to our database1, Yu Tao authored at least 12 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Large Area High-Resolution 3D Mapping of the Von Kármán Crater: Landing Site for the Chang'E-4 Lander and Yutu-2 Rover.
Remote. Sens., 2023

2022
Subpixel-Scale Topography Retrieval of Mars Using Single-Image DTM Estimation and Super-Resolution Restoration.
Remote. Sens., 2022

2021
Towards Streamlined Single-Image Super-Resolution: Demonstration with 10 m Sentinel-2 Colour and 10-60 m Multi-Spectral VNIR and SWIR Bands.
Remote. Sens., 2021

Rapid Single Image-Based DTM Estimation from ExoMars TGO CaSSIS Images Using Generative Adversarial U-Nets.
Remote. Sens., 2021

MADNet 2.0: Pixel-Scale Topography Retrieval from Single-View Orbital Imagery of Mars Using Deep Learning.
Remote. Sens., 2021

Seamless 3D Image Mapping and Mosaicing of Valles Marineris on Mars Using Orbital HRSC Stereo and Panchromatic Images.
Remote. Sens., 2021

Large Area High-Resolution 3D Mapping of Oxia Planum: The Landing Site for the ExoMars Rosalind Franklin Rover.
Remote. Sens., 2021

Super-Resolution Restoration of Spaceborne Ultra-High-Resolution Images Using the UCL OpTiGAN System.
Remote. Sens., 2021

Ultra-High-Resolution 1 m/pixel CaSSIS DTM Using Super-Resolution Restoration and Shape-from-Shading: Demonstration over Oxia Planum on Mars.
Remote. Sens., 2021

Single Image Super-Resolution Restoration of TGO CaSSIS Colour Images: Demonstration with Perseverance Rover Landing Site and Mars Science Targets.
Remote. Sens., 2021

2019
Super-Resolution Restoration of MISR Images Using the UCL MAGiGAN System.
Remote. Sens., 2019

2016
Crack Detection in "As-Cast" Steel Using Laser Triangulation and Machine Learning.
Proceedings of the 13th Conference on Computer and Robot Vision, 2016


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