Fusing spaceborne radar, lidar and spectrometry data using semi-supervised deep learning to create a high resolution canopy structure dataset

Vink, J.

LIACS Thesis Repository

These webpages contain theses and reports by students affiliated with the various bachelor and master programmes offered at the Leiden Institute of Advanced Computer Science (LIACS), the computer science and artificial intelligence department of Leiden University.
Note: this thesis repository might be incomplete for certain programmes.

Master Computer Science

The following thesis was written by a student in the 2021-2022 class of the Master Computer Science programme at Leiden University.

Thesis details

Title	Fusing spaceborne radar, lidar and spectrometry data using semi-supervised deep learning to create a high resolution canopy structure dataset
Student	Vink, J.
Programme	Master Computer Science
Year	2021-2022
Supervisors	Baratchi, dr. M. (Mitra) Dr. Suzanne Marselis (second supervisor)
Thesis	Open Thesis PDF

Citation details

Vink, J., Fusing spaceborne radar, lidar and spectrometry data using semi-supervised deep learning to create a high resolution canopy structure dataset, Thesis Master Computer Science, LIACS, Leiden University, 2022.