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
Explainable machine learning for scientific insights and discoveries
R Roscher, B Bohn, MF Duarte, J Garcke
IEEE Access 8, 42200-42216, 2020
872020
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
712014
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
592016
Can i trust my one-class classification?
B Mack, R Roscher, B Waske
Remote Sensing 6 (9), 8779-8802, 2014
462014
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
422012
I2VM: Incremental import vector machines
R Roscher, W Förstner, B Waske
Image and Vision Computing 30 (4-5), 263-278, 2012
342012
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
312018
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
302016
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
292013
Shapelet-Based Sparse Representation for Landcover Classification of Hyperspectral Images
R Roscher, B Waske
IEEE Transactions on Geoscience and Remote Sensing 54 (3), 2016
252016
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
252014
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
242016
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
242010
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
232017
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
202017
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
202014
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
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
Hyperspectral plant disease forecasting using generative adversarial networks
A Förster, J Behley, J Behmann, R Roscher
International Geoscience and Remote Sensing Symposium, 2019
132019
Detection of Single Grapevine Berries in Images Using Fully Convolutional Neural Networks
L Zabawa, A Kicherer, L Klingbeil, A Milioto, R Töpfer, H Kuhlmann, ...
CVPR Workshop on Computer Vision Problems in Plant Phenotyping, 2019
132019
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20