Status: taken
Supervisor: Sebastian Zambanini

Problem Statement

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.

Goal

The goal of this work is to explore and examine methods that can be used to automatically enhance shadow regions in satellite images.

Workflow

Literature Review – getting to know the algorithms
Data Preparation
Implementation
Evaluation
Written Report/Thesis and final presentation

Literature