49 citations · 71 across the 4 of their papers we have counts for
4 papers
BlessemFlood21: Advancing Flood Analysis with a High-Resolution Georeferenced Dataset for Humanitarian Aid Support
Vladyslav Polushko, Alexander Jenal, Jens Bongartz +6
Floods are an increasingly common global threat, causing emergencies and severe damage to infrastructure. During crises, organisations such as the World Food Programme use remotely…
Exploring Wilderness Characteristics Using Explainable Machine Learning in Satellite Imagery
Timo T. Stomberg, Taylor Stone, Johannes Leonhardt +2
Wilderness areas offer important ecological and social benefits and there are urgent reasons to discover where their positive characteristics and ecological functions are present a…
Behind the leaves -- Estimation of occluded grapevine berries with conditional generative adversarial networks
Jana Kierdorf, Immanuel Weber, Anna Kicherer +3
The need for accurate yield estimates for viticulture is becoming more important due to increasing competition in the wine market worldwide. One of the most promising methods to es…
Artificial and beneficial -- Exploiting artificial images for aerial vehicle detection
Immanuel Weber, Jens Bongartz, Ribana Roscher
Object detection in aerial images is an important task in environmental, economic, and infrastructure-related tasks. One of the most prominent applications is the detection of vehi…