Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.
2021Evaluation of RGB and Multispectral Unmanned Aerial Vehicle (UAV) Imagery for High-Throughput Phenotyping and Yield Prediction in Barley Breeding
Herzig, P.; Borrmann, P.; Knauer, U.; Klück, H.-C.; Kilias, D.; Seiffert, U.; Pillen, K.; Maurer, A.
Zeitschriftenaufsatz
2021Genome-wide association study reveals the genetic complexity of fructan accumulation patterns in barley grain
Matros, A.; Houston, K.; Tucker, M.R.; Schreiber, M.; Berger, B.; Aubert, M.K.; Wilkinson, L.G.; Witzel, K.; Waugh, R.; Seiffert, U.; Burton, R.A.
Zeitschriftenaufsatz
2021Verfahren zur Untersuchung von Substanzen, Computerprogrammprodukt zur Verwendung in diesem Verfahren, sowie mobiles elektronisches Gerät
Seiffert, Udo; Backhaus, Andreas; Herzog, Andreas
Patent
2020"Macrobot": An Automated Segmentation-Based System for Powdery Mildew Disease Quantification
Lück, Stefanie; Strickert, Marc; Lorbeer, Maximilian; Melchert, Friedrich; Backhaus, Andreas; Kilias, David; Seiffert, Udo; Douchkov, Dimitar
Zeitschriftenaufsatz
2020Adaptive basis functions for prototype-based classification of functional data
Melchert, F.; Bani, G.; Seiffert, U.; Biehl, M.
Zeitschriftenaufsatz
2020Detection of grapevine leafroll-associated virus 1 and 3 in white and red grapevine cultivars using hyperspectral imaging
Bendel, Nele; Kicherer, Anna; Backhaus, Andreas; Köckerling, Janine; Maixner, Michael; Bleser, Elvira; Klück, Hans-Christian; Seiffert, Udo; Voegele, Ralf T.; Töpfer, Reinhard
Zeitschriftenaufsatz
2020Detection of Two Different Grapevine Yellows in Vitis vinifera Using Hyperspectral Imaging
Bendel, N.; Backhaus, A.; Kicherer, A.; Köckerling, J.; Maixner, M.; Jarausch, B.; Biancu, S.; Klück, H.-C.; Seiffert, U.; Voegele, R.T.; Töpfer, R.
Zeitschriftenaufsatz
2020Evaluating the suitability of hyper- and multispectral imaging to detect foliar symptoms of the grapevine trunk disease Esca in vineyards
Bendel, Nele; Kicherer, Anna; Backhaus, Andreas; Klück, Hans-Christian; Seiffert, Udo; Fischer, Michael; Voegele, Ralf T.; Töpfer, Reinhard
Zeitschriftenaufsatz
2020GWAS reveals the genetic complexity of fructan accumulation patterns in barley grain
Matros, Andrea; Houston, Kelly; Tucker, Matthew R.; Schreiber, Miriam; Berger, Bettina; Aubert, Matthew K.; Wilkinson, Laura G.; Witzel, Katja; Waugh, Robbie; Seiffert, Udo; Burton, Rachel A.
Paper
2020Learning vector quantization and relevances in complex coefficient space
Straat, M.; Kaden, M.; Gay, M.; Villmann, T.; Lampe, A.; Seiffert, U.; Biehl, M.; Melchert, F.
Zeitschriftenaufsatz
2020Phenotyping and Genotyping of Plants
Seiffert, Udo; Herzog, Andreas
Aufsatz in Buch
2019Data characterization of Barley HEB-25 through hyperspectral imaging and machine learning
Klück, Hans-Christian; Schmidt, Maria; Warnemünde, Sebastian; Backhaus, Andreas; Herzig, Paul; Mock, Hans-Peter; Pillen, Klaus; Seiffert, Udo
Poster
2019Determination of Fructans in Plants: Current Analytical Means for Extraction, Detection, and Quantification
Matros, Andrea; Peukert, Manuela; Lahnstein, Jelle; Seiffert, Udo; Burton, Rachel
Zeitschriftenaufsatz
2019Genetic dissection of grain elements predicted by hyperspectral imaging associated with yield-related traits in a wild barley NAM population
Herzig, Paul; Backhaus, Andreas; Seiffert, Udo; Wirén, Nicolaus von; Pillen, Klaus; Maurer, Andreas
Zeitschriftenaufsatz
2019Optimizing the procedure of grain nutrient predictions in barley via hyperspectral imaging
Wiegmann, M.; Backhaus, A.; Seiffert, U.; Thomas, W.T.B.; Flavell, A.J.; Pillen, K.; Maurer, A.
Zeitschriftenaufsatz
2019Phäno- und Genotypisierung von Pflanzen
Seiffert, Udo; Herzog, Andreas
Aufsatz in Buch
2019Phenoliner: A multi-sensor field phenotyping platform
Kicherer, Anna; Herzog, Katja; Bendel, Nele; Klück, Hans-Christian; Backhaus, Andreas; Wieland, Markus; Rose, Johann Christian; Klingbeil, Lasse; Kuhlmann, Heiner; Seiffert, Udo; Töpfer, Reinhard
Konferenzbeitrag
2019Phenoliner: A New Field Phenotyping Platform for Grapevine Research
Kicherer, Anna; Herzog, Katja; Bendel, Nele; Klück, Hans-Christian; Backhaus, Andreas; Wieland, Markus; Rose, Johann Christian; Klingbeil, Lasse; Läbe, Thomas; Hohl, Christian; Petry, Willi; Kuhlmann, Heiner; Seiffert, Udo; Töpfer, Reinhard
Aufsatz in Buch
2019Transfer Learning for transferring machine-learning based models among various hyperspectral sensors
Menz, Patrick; Backhaus, Andreas; Seiffert, Udo
Konferenzbeitrag
2019Tree Species Classification Based on Hybrid Ensembles of a Convolutional Neural Network (CNN) and Random Forest Classifiers
Knauer, Uwe; Rekowski, Cornelius Styp von; Stecklina, Marianne; Krokotsch, Tilman; Pham Minh, Tuan; Hauffe, Viola; Kilias, David; Ehrhardt, Ina; Sagischewski, Herbert; Chmara, Sergej; Seiffert, Udo
Zeitschriftenaufsatz
2018Characterization of barley NAM population HEB-25 with the field phenotyping platform "Agrover"
Schmidt, Maria; Klück, Hans-Christian; Backhaus, Andreas; Brauch, Dominic; Mock, HansâPeter; Seiffert, Udo; Pillen, Klaus
Poster
2018Manipulationseinrichtung zum Greifen eines Körpers
Backhaus, Andreas; Herzog, Andreas; Müller, Veit; Saenz, José; Seiffert, Udo
Patent
2018System und Verfahren zum Erfassen von Messbildern eines Messobjekts
Backhaus, Andreas; Herzog, Andreas; Seiffert, Udo
Patent
2017Adaptive basis functions for prototype-based classification of functional data
Bani, G.; Seiffert, U.; Biehl, M.; Melchert, F.
Konferenzbeitrag
2017Data dependent evaluation of dissimilarities in nearest prototype vector quantizers regarding their discriminating abilities
Kaden, Marika; Nebel, David; Melchert, Friedrich; Backhaus, Andreas; Seiffert, Udo; Villmann, Thomas
Konferenzbeitrag
2017Genetic regulation of growth and nutrient content under phosphorus deficiency in the wild barley introgression library S42IL
Soleimani, Behnaz; Sammler, Ralf; Backhaus, Andreas; Beschow, Heidrun; Schumann, Erika; Mock, Hans-Peter; Wirén, Nicolaus von; Seiffert, Udo; Pillen, Klaus
Zeitschriftenaufsatz
2017Improved classification accuracy of powdery mildew infection levels of wine grapes by spatial-spectral analysis of hyperspectral images
Knauer, Uwe; Matros, Andrea; Petrovic, Tijana; Zanker, Timothy; Scott, Eileen; Seiffert, Udo
Zeitschriftenaufsatz
2017Methoden der Datenanalyse für verfahrenstechnische Anwendungen
Zobel, Nico; Seiffert, Udo; Herzog, Andreas
Vortrag
2017Phenoliner: A new field phenotyping platform for grapevine research
Kicherer, Anna; Herzog, Katja; Bendel, Nele; Klück, Hans-Christian; Backhaus, Andreas; Wieland, Markus; Rose, Johann Christian; Klingbeil, Lasse; Läbe, Thomas; Hohl, Christian; Petry, Willi; Kuhlmann, Heiner; Seiffert, Udo; Töpfer, Reinhard
Zeitschriftenaufsatz
2017Prototypes and matrix relevance learning in complex fourier space
Straat, Michiel; Kaden, Marika; Gay, Matthias; Villmann, Thomas; Lampe, Alexander; Seiffert, Udo; Biehl, Michael; Melchert, Friedrich
Konferenzbeitrag
2016Functional representation of prototypes in LVQ and relevance learning
Melchert, F.; Seiffert, U.; Biehl, M.
Konferenzbeitrag
2016Identification and classification of contaminations on wafers using hyperspectral imaging
Turek, M.; Backhaus, A.; Meyer, S.; Seiffert, U.
Zeitschriftenaufsatz
2016Label-free proteome profiling reveals developmental-dependent patterns in young barley grains
Kaspar-Schoenefeld, S.; Merx, K.; Jozefowicz, A.M.; Hartmann, A.; Seiffert, U.; Weschke, W.; Matros, A.; Mock, H.-P.
Zeitschriftenaufsatz
2016Non-invasive presymptomatic detection of Cercospora beticola infection and identification of early metabolic responses in sugar beet
Arens, N.; Backhaus, A.; Döll, S.; Fischer, S.; Seiffert, U.; Mock, H.-P.
Zeitschriftenaufsatz
2016Wild barley introgression library HEB-25 and sensor-based high-throughput phenotyping in field
Draba, Vera; Herzig, Paul; Klück, Hans-Christian; Brauch, Dominic; Maurer, Andreas; Seiffert, Udo; Mock, Hans-Peter; Pillen, Klaus
Poster
2015Erweiterter Dynamikumfang und Fokusbereich hyperspektraler Kameras
Holstein, Katharina; Herzog, Andreas; Seiffert, Udo
Aufsatz in Buch
2015Evaluation of fusion methods for gamma-divergence-based neural network ensembles
Knauer, U.; Backhaus, A.; Seiffert, U.
Konferenzbeitrag
2015Fast segmentation of hyperspectral images by combining textural and spectral information
Knauer, Uwe; Kilias, David; Seiffert, Udo
Konferenzbeitrag
2015Fliegende Sensoren sorgen für Qualität und Quantität von Australischem Wein
Knauer, Uwe; Seiffert, Udo
Aufsatz in Buch
2015Fusion trees for fast and accurate classification of hyperspectral data with ensembles of gamma-divergence-based RBF networks
Knauer, Uwe; Backhaus, Andreas; Seiffert, Udo
Zeitschriftenaufsatz
2015Mit hyperspektraler Massenerfassung archäologische Objekte archivieren
Herzog, Andreas; Seiffert, Uda
Aufsatz in Buch
2015Polynomial approximation of spectral data in LVQ and relevance learning
Melchert, Friedrich; Seiffert, Udo; Biehl, Michael
Zeitschriftenaufsatz
2015Towards grape-vine management based on mapping of airborne hyperspectral images
Knauer, Uwe; Edwards, Everard; McGrath, Andrew; Lieff, Wolfgang; Hacker, Jorg M.; Seiffert, Udo
Vortrag
2014ANNIE - Artificial Neural Network-based Image Encoder
Seiffert, Udo
Zeitschriftenaufsatz
2014Beyond standard metrics - on the selection and combination of distance metrics for an improved classification of hyperspectral data
Knauer, Uwe; Backhaus, Andreas; Seiffert, Udo
Konferenzbeitrag
2014Classification in high-dimensional spectral data: Accuracy vs. interpretability vs. model size
Backhaus, Andreas; Seiffert, Udo
Zeitschriftenaufsatz
2014Erweiterung hyperspektraler Bildgebung auf Mikroskopie
Holstein, Katharina; Herzog, Andreas; Backhaus, Andreas; Seiffert, Udo
Aufsatz in Buch
2014Fast image segmentation based on boosted random forests, integral images, and features on demand
Knauer, Uwe; Seiffert, Udo
Konferenzbeitrag
2014Microphenomics for interactions of barley with fungal pathogens
Douchkov, Dimitar; Baum, Tobias; Ihlow, Alexander; Schweizer, Patrick; Seiffert, Udo
Aufsatz in Buch
2013An approach for automated registration of hyperspectral images for boresight calibration
Knauer, Uwe; Seiffert, Udo
Konferenzbeitrag
2013Cascaded reduction and growing of result sets for combining object detectors
Knauer, Uwe; Seiffert, Udo
Konferenzbeitrag
2013A comparison of late fusion methods for object detection
Knauer, Uwe; Seiffert, Udo
Konferenzbeitrag
2013Comprehensive, non-invasive, and quantitative monitoring of the health and nutrition state of crop plants by means of hyperspectral imaging and computational intelligence based analysis intelligence based analysis
Backhaus, Andreas; Seiffert, Udo
Konferenzbeitrag
2013HawkSpex® - ein flexibles System zur Aufnahme hyperspektraler Bilddaten
Klück, Hans-Christian; Rothe, Felix; Seiffert, Udo
Aufsatz in Buch
2013Processing hyperspectral data in machine learning
Villmann, Thomas; Kästner, Marika; Backhaus, Andreas; Seiffert, Udo
Konferenzbeitrag
2013Quantitative measurements of model interpretability for the analysis of spectral data
Backhaus, Andreas; Seiffert, Udo
Konferenzbeitrag
2013Softsensorik zum berührungslosen Messen im Hochdurchsatz
Backhaus, Andreas; Herzog, Andreas; Knauer, Uwe; Seiffert, Udo
Aufsatz in Buch
2012Classification in high-dimensional spectral data - precision vs. interpretability vs. model size
Backhaus, A.; Seiffert, U.
Zeitschriftenaufsatz
2012Classifying scotch whisky from near-infrared Raman spectra with a radial basis function network with relevance learning
Backhaus, A.; Ashok, P.C.; Praveen, B.B.; Dholakia, K.; Seiffert, U.
Konferenzbeitrag
2012Fractal analysis of resting state functional connectivity of the brain
You, W.; Achard, S.; Stadler, J.; Brückner, B.; Seiffert, U.
Konferenzbeitrag
2012Hardware accelerated real time classification of hyperspectral imaging data for coffee sorting
Backhaus, A.; Lachmair, J.; Rückert, U.; Seiffert, U.
Konferenzbeitrag
2012Necrosis-inducing proteins of Rhynchosporium commune, effectors in quantitative disease resistance
Kirsten, S.; Navarro-Quezada, A.; Penselin, D.; Wenzel, C.; Matern, A.; Leitner, A.; Baum, T.; Seiffert, U.; Knogge, W.
Zeitschriftenaufsatz
2011HyphArea - automated analysis of spatiotemporal fungal patterns
Baum, T.; Navarro-Quezada, A.; Knogge, W.; Douchkov, D.; Schweizer, P.; Seiffert, U.
Zeitschriftenaufsatz
2011Label-free liquid chromatography-based quantitative proteomics. Challenges and recent developments
Seiffert, U.; Matros, A.; Kaspar, S.; Tenzer, S.; Kipping, M.; Mock, H.P.
Aufsatz in Buch
2011A multivariate wavelet-PCA denoising-filter for hyperspectral images
Bollenbeck, F.; Backhaus, A.; Seiffert, U.
Konferenzbeitrag
2011Recent trends in computational intelligence in life sciences
Seiffert, U.; Schleif, F.M.; Zühlke, D.
Konferenzbeitrag
2011Relevance learning in unsupervised vector quantization based on divergences
Kästner, M.; Backhaus, A.; Geweniger, T.; Haase, S.; Seiffert, U.; Villmann, T.
Konferenzbeitrag
2011Robust classification of the nutrition state in crop plants by hyperspectral imaging and artificial neural networks
Backhaus, A.; Bollenbeck, F.; Seiffert, U.
Konferenzbeitrag
2010Application-adaptive dissimilarity measures for hyperspectral images
Bollenbeck, F.; Seiffert, U.
Zeitschriftenaufsatz
2010Barley grain development
Sreenivasulu, N.; Borisjuk, L.; Junker, B.H.; Mock, H.P.; Rolletschek, H.; Seiffert, U.; Weschke, W.; Wobus, U.
Zeitschriftenaufsatz
2010Clustering of crop phenotypes by means of hyperspectral signatures using artificial neural networks
Seiffert, U.; Bollenbeck, F.; Mock, H.-P.; Matros, A.
Konferenzbeitrag
2010Clustering of hyperspectral image signatures using neural gas
Seiffert, U.; Bollenbeck, F.
Zeitschriftenaufsatz
2010Joint registration and segmentation of histological volume data by diffusion-based label adaption
Bollenbeck, F.; Seiffert, U.
Konferenzbeitrag
2010Validation of unsupervised clustering methods for leaf phenotype screening
Backhaus, A.; Kuwabara, A.; Fleming, A.; Seiffert, U.
Konferenzbeitrag
2010VR based visualization and exploration of plant biological data
Schoor, W.; Bollenbeck, F.; Seidl, T.; Weier, D.; Weschke, W.; Preim, B.; Seiffert, U.; Mecke, R.
Zeitschriftenaufsatz
2009Computational intelligence in biomedical image processing
Bollenbeck, F.; Seiffert, U.
Aufsatz in Buch
2009Efficient semiautomatic segmentation of plant biological objects based on live-wire methods
Schoor, W.; Seidl, T.; Bollenbeck, F.; Seiffert, U.; Preim, B.; Mecke, R.
Konferenzbeitrag
2009Entwicklung neuer automatisierter Systeme für zukünftige Anwendungen und Märkte zur Verbesserung des Lebensstandards für den Menschen
Elkmann, N.; Berndt, D.; Seiffert, U.
Aufsatz in Buch
2009From individual intensity voxel data to inter-individual probabilistic atlases of biological objects by an interleaved registration-segmentation approach
Bollenbeck, F.; Weier, D.; Schoor, W.; Seiffert, U.
Konferenzbeitrag
2009Inter-modality registration of NMRi and histological section images using neural networks regression in gabor feature space
Bollenbeck, F.; Pielot, R.; Weier, D.; Weschke, W.; Seiffert, U.
Konferenzbeitrag
2009Multimodal registration of nmr-volumes and histological cross-sections of barley grains on the cell broadband engine processor
Pielot, R.; Seiffert, U.; Manz, B.; Weier, D.; Volke, F.; Schreiber, F.; Weschke, W.
Konferenzbeitrag
2009Remote rendering of large biological datasets
Schoor, W.; Mecke, R.; Seiffert, U.; Bollenbeck, F.; Scholz, U.
Konferenzbeitrag
2009Three-dimensional multimodality modelling by integration of high-resolution interindividual atlases and functional MALDI-IMS data
Bollenbeck, F.; Kaspar, S.; Mock, H.-P.; Weier, D.; Seiffert, U.
Konferenzbeitrag
2009Unleashing pearson correlation for faithful analysis of biomedical data
Strickert, M.; Schleif, F.M.; Villmann, T.; Seiffert, U.
Aufsatz in Buch
20084D warping for analysing morphological changes in seed development of barley grains
Pielot, R.; Seiffert, U.; Manz, B.; Weier, D.; Volke, F.; Weschke, W.
Konferenzbeitrag
2008Automatic zoom and pseudo haptics to support semiautomatic segmentation tasks
Schoor, W.; Bollenbeck, F.; Hofmann, M.; Mecke, R.; Seiffert, U.; Preim, B.
Konferenzbeitrag