LIU Wai-chung
Professional Title:Associate Professor
Email:liaowc@aircas.ac.cn
I am a remote sensing researcher at AIR, CAS, supported by the CAS talent program. I think of ways to extract 3D and other quantitative measurements from images, mostly for planetary and geoscience research. I can generate pixel-resolution DTM from a single image (Shape-from-Shading techniques), and I have done it for the Moon (for the Chang'E-4 & partly Chang’E-6 missions), Mars (for the Tianwen-1 mission), and other planetary bodies. I also retrieve atmospheric parameters from Martian images. The outcomes have led to 17 academic publications in reputable journals (e.g., ISPRSJ, Icarus). Recently, I've been studying photometric modelling of the lunar surface and Martian atmosphere, and developing better 3D mapping methods for the lunar southpole, Mars, small bodies, icy moons and planetary landforms of specific scientific interest.
Planetary Remote Sensing;
Topographic Mapping;
Shape-from-Shading;
Planetary Photometry
ISPRS Journal 2020 featured article (1st Author)
1) Atmosphere-Aware Photoclinometry for Pixel-Wise 3D Topographic Mapping of Mars, ISPRS Journal of Photogrammetry and Remote Sensing, 2023. doi:10.1016/j.isprsjprs.2023.09.017
2) Pre and Post-Landing Atmospheric Optical Depths at the Zhurong Landing Site on Mars Retrieved Using a Single-Image-Based Approach, Icarus, 2022. doi:10.1016/j.icarus.2022.115223
3) Influence of Solar Incidence Angle on Single-Image Photoclinometry for Precision Lunar Topographic Mapping, ISPRS Journal of Photogrammetry and Remote Sensing, 2021. doi: 10.1016/j.isprsjprs.2021.10.011
4) An Integrated Photogrammetric and Photoclinometric Approach for Illumination-Invariant Pixel-Resolution 3D Mapping of the Lunar Surface, ISPRS Journal of Photogrammetry and Remote Sensing, 2020. doi: 10.1016/j.isprsjprs.2019.11.017. (ISPRS Journal 2020 featured articles)
5) Effects of Illumination Differences on Photometric Stereo Shape-and-Albedo-from-Shading for Precision Lunar Surface Reconstruction, ISPRS Journal of Photogrammetry and Remote Sensing, 2018. doi: 10.1016/j.isprsjprs.2017.12.010