Defence of doctoral thesis in the field of telecommunications software, MSc Yuwei Chen

Sensing a colourful 3D world with a special LiDAR sensor

CS_defence photo by Matti Ahlgren

Title of the doctoral thesis is "Environment Awareness with Hyperspectral LiDAR Technologies"

Lidar is a method for measuring distances using laser light with a sensor. Differences in laser return times can be used to make three-dimensional representations of the target.

Lidar is widely used in autonomous cars nowadays due to its capability to sense 3D world. As we know as common sense, LiDAR is always monochromatic, so the world that LiDAR sense is a 3D grey world. Is it possible to sense a colourful 3D world with LiDAR, since the texture of the target contains a lot of information for human being understand the world?  Moreover, whether we can also collect more exciting information from the sensed objects, for example, with the capability to see the infrared content which is invisible to a normal camera?

In this study, I try to extend the concept of monochromic LiDAR to multispectral even hyperspectral version with the latest developed techniques. And I also examine how such new sensing technology can help for plant science, forestry and mining application. However, the list of the applied research field of such technology is endless. I do believe that the only limitation for the applicability of such a novel sensor is our imagination. Just like the colour photography brings a colossal impact to black-and-white photography. The hyperspectral LiDAR technologies will bring revolutionary opportunity to various research fielding, and environmental awareness is just one of them.

Opponent: Professor Jouni Pulliainen, Finnish Meteorological Institute

Custos: Professor Antti Ylä-Jääski, Aalto University School of Science, Department of Computer Science

Contact information of the doctoral candidate: Yuwei Chen, Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, National Land Survey, [email protected], 0407039098

The defence will be organised remotely, via Zoom. Link to the defence

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The doctoral thesis is publicly displayed 10 days before the defence in the electronic publication archive of Aalto University (

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