1k citations · 2.1k across the 39 of their papers we have counts for
6 papers · 2 filters
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…
Shapelet-based Sparse Representation for Landcover Classification of Hyperspectral Images
Ribana Roscher, Björn Waske
This paper presents a sparse representation-based classification approach with a novel dictionary construction procedure. By using the constructed dictionary sophisticated prior kn…
Incremental Import Vector Machines for Classifying Hyperspectral Data
Ribana Roscher, Björn Waske, Wolfgang Förstner
In this paper we propose an incremental learning strategy for import vector machines (IVM), which is a sparse kernel logistic regression approach. We use the procedure for the conc…