90 citations · 277 across the 8 of their papers we have counts for
8 papers
Detection of Single Grapevine Berries in Images Using Fully Convolutional Neural Networks
Laura Zabawa, Anna Kicherer, Lasse Klingbeil +4
Yield estimation and forecasting are of special interest in the field of grapevine breeding and viticulture. The number of harvested berries per plant is strongly correlated with t…
Automated Image Analysis Framework for the High-Throughput Determination of Grapevine Berry Sizes Using Conditional Random Fields
Ribana Roscher, Katja Herzog, Annemarie Kunkel +3
The berry size is one of the most important fruit traits in grapevine breeding. Non-invasive, image-based phenotyping promises a fast and precise method for the monitoring of the g…
Sea Level Anomaly Prediction using Recurrent Neural Networks
Anne Braakmann-Folgmann, Ribana Roscher, Susanne Wenzel +2
Sea level change, one of the most dire impacts of anthropogenic global warming, will affect a large amount of the world's population. However, sea level change is not uniform in ti…
Deep Self-taught Learning for Remote Sensing Image Classification
Anika Bettge, Ribana Roscher, Susanne Wenzel
This paper addresses the land cover classification task for remote sensing images by deep self-taught learning. Our self-taught learning approach learns suitable feature representa…
Tropical Land Use Land Cover Mapping in Pará (Brazil) using Discriminative Markov Random Fields and Multi-temporal TerraSAR-X Data
Ron Hagensieker, Ribana Roscher, Johannes Rosentreter +2
Remote sensing satellite data offer the unique possibility to map land use land cover transformations by providing spatially explicit information. However, detection of short-term…
STAR: Spatio-Temporal Altimeter Waveform Retracking using Sparse Representation and Conditional Random Fields
Ribana Roscher, Bernd Uebbing, Jürgen Kusche
Satellite radar altimetry is one of the most powerful techniques for measuring sea surface height variations, with applications ranging from operational oceanography to climate res…