Supervisor: Sebastian Zambanini
Shadows cast in remote sensing images complicate their analysis due to the low contrast in the poorly illuminated image regions. Shadow removal/compensation methods aim at automatically reducing shadow effects, either by a physical or learning-based model.
The goal of this work is to explore and examine methods that can be used to automatically enhance shadow regions in satellite images.
Literature Review – getting to know the algorithms
Written Report/Thesis and final presentation