From ef75f0ee52d3d26ceab2fe6b938647b66ffce858 Mon Sep 17 00:00:00 2001 From: Hugo Ledoux Date: Mon, 24 Jun 2024 10:27:14 +0200 Subject: [PATCH] Add topic about space lidar and hte new diffusion model --- education/msctopics/index.md | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/education/msctopics/index.md b/education/msctopics/index.md index b142a8a0..49a88264 100644 --- a/education/msctopics/index.md +++ b/education/msctopics/index.md @@ -45,6 +45,20 @@ The method(s) should be able to scale to the full ICESat-2 dataset (1 PB), and t **Contact:** [Maarten Pronk](https://www.evetion.nl/) + [Hugo Ledoux](https://3d.bk.tudelft.nl/hledoux) +- - - + + +## Filling the massive gaps in space lidar datasets with a diffusion model + +![](img/icesat_gedi.png){:width="300px"} + +As you saw during the GEO1015 lecture of Maarten Pronk, space lidar datasets, [ICESat-2](https://icesat-2.gsfc.nasa.gov/) and [GEDI](https://gedi.umd.edu/), have very sparse distribution (often kilometres with no data) and thus a global coverage is difficult. + +The aim of this thesis is to test, compare to others, and further develop the deep learning diffusion model presented [in this paper](https://doi.org/10.1109/LGRS.2024.3403835). + +The [project has open-source code](https://github.com/kylelo/Diff-DEM), Python can be used. + +**Contact:** [Hugo Ledoux](https://3d.bk.tudelft.nl/hledoux/) + [Maarten Pronk](https://evetion.nl) - - - >>>>>>> dec557a4 (Add icesat-2 topic)