Ribana Roscher
Ribana Roscher
Institute of Geodesy and Geoinformation, University of Bonn
Bestätigte E-Mail-Adresse bei uni-bonn.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Automated image analysis framework for high-throughput determination of grapevine berry sizes using conditional random fields
R Roscher, K Herzog, A Kunkel, A Kicherer, R Töpfer, W Förstner
Computers and Electronics in Agriculture 100, 148-158, 2014
632014
Statistical Inference, Learning and Models in Big Data
B Franke, JF Plante, R Roscher, A Lee, C Smyth, A Hatefi, F Chen, E Gil, ...
International Statistical Review, 2016
512016
Can i trust my one-class classification?
B Mack, R Roscher, B Waske
Remote Sensing 6 (9), 8779-8802, 2014
422014
Incremental import vector machines for classifying hyperspectral data
R Roscher, B Waske, W Forstner
IEEE Transactions on Geoscience and Remote Sensing 50 (9), 3463-3473, 2012
382012
I2VM: Incremental import vector machines
R Roscher, W Förstner, B Waske
Image and Vision Computing 30 (4-5), 263-278, 2012
322012
Mapping raised bogs with an iterative one-class classification approach
B Mack, R Roscher, S Stenzel, H Feilhauer, S Schmidtlein, B Waske
ISPRS Journal of Photogrammetry and Remote Sensing 120, 53-64, 2016
272016
BAT (Berry Analysis Tool): A high-throughput image interpretation tool to acquire the number, diameter, and volume of grapevine berries
A Kicherer, R Roscher, K Herzog, S Šimon, W Förstner, R Töpfer
VITIS-Journal of Grapevine Research 52 (3), 129, 2013
252013
Shapelet-Based Sparse Representation for Landcover Classification of Hyperspectral Images
R Roscher, B Waske
IEEE Transactions on Geoscience and Remote Sensing 54 (3), 2016
242016
Initial steps for high-throughput phenotyping in vineyards
K Herzog, R Roscher, M Wieland, A Kicherer, T Läbe, W Förstner, ...
VITIS-Journal of Grapevine Research 53 (1), 1, 2014
232014
Kernel discriminative random fields for land cover classification
R Roscher, B Waske, W Förstner
2010 IAPR Workshop on Pattern Recognition in Remote Sensing, 1-5, 2010
222010
Ocean Eddy Identification and Tracking using Neural Networks
K Franz, R Roscher, A Milioto, S Wenzel, J Kusche
International Geoscience and Remote Sensing Symposium, 2018
202018
Subpixel mapping of urban areas using EnMAP data and multioutput support vector regression
J Rosentreter, R Hagensieker, A Okujeni, R Roscher, PD Wagner, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017
192017
Superpixel-based classification of hyperspectral data using sparse representation and conditional random fields
R Roscher, B Waske
2014 IEEE Geoscience and Remote Sensing Symposium, 3674-3677, 2014
192014
Detection of Disease Symptoms on Hyperspectral 3d Plant Models
R Roscher, J Behmann, AK Mahlein, J Dupuis, H Kuhlmann, L Plümer
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information …, 2016
182016
STAR: Spatio-temporal altimeter waveform retracking using sparse representation and conditional random fields
R Roscher, B Uebbing, J Kusche
Remote sensing of Environment 201, 148-164, 2017
172017
Improving image segmentation using multiple view analysis
M Drauschke, R Roscher, T Labe, W Forstner
Object Extraction for 3D City Models, Road Databases and Traffic Monitoring …, 2009
172009
Explainable machine learning for scientific insights and discoveries
R Roscher, B Bohn, MF Duarte, J Garcke
IEEE Access 8, 42200-42216, 2020
162020
Tropical land use land cover mapping in Pará (Brazil) using discriminative Markov random fields and multi-temporal TerraSAR-X data
R Hagensieker, R Roscher, J Rosentreter, B Jakimow, B Waske
International journal of applied earth observation and geoinformation 63 …, 2017
132017
Image based evaluation for the detection of cluster parameters in grapevine
A Kicherer, R Roscher, K Herzog, W Förstner, R Töpfer
XI International Conference on Grapevine Breeding and Genetics 1082, 335-340, 2014
92014
Sequential learning using Incremental Import Vector Machines for semantic segmentation
R Roscher
Rheinische Friedrich-Wilhelms-Universität Bonn, Landwirtschaftliche Fakultät …, 2013
82013
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