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| 2021 | Detection of pyrrolizidine alkaloid containing herbs using hyperspectral imaging in the short-wave infrared
Krause, Julius; Tron, Nanina; Maier, Georg; Gruna, Robin; Krähmer, Andrea | Conference Paper |
| 2020 | Hyperspectral Band Selection within a Deep Reinforcement Learning Framework
Michel, Andreas; Gross, Wolfgang; Schenkel, Fabian; Middelmann, Wolfgang | Conference Paper |
| 2020 | Unsupervised hyperspectral classification based on similarity graphs
González Santiago, Jonathan; Schenkel, Fabian; Gross, Wolfgang; Middelmann, Wolfgang | Conference Paper |
| 2020 | An unsupervised labeling approach for hyperspectral image classification
González Santiago, Jonathan; Schenkel, Fabian; Gross, Wolfgang; Middelmann, Wolfgang | Conference Paper |
| 2019 | Classification of black plastics waste using fluorescence imaging and machine learning
Gruber, Florian; Grählert, Wulf; Wollmann, Philipp; Kaskel, Stefan | Journal Article |
| 2019 | Correlation of defect luminescence and recombination in multicrystalline silicon
Wyller, Guro Marie; Schindler, Florian; Kwapil, Wolfram; Schön, Jonas; Olsen, Espen; Haug, Halvard; Riepe, Stephan; Schubert, Martin C. | Journal Article |
| 2018 | Hyperspectral imaging using laser excitation for fast raman and fluorescence hyperspectral imaging for sorting and quality control applications
Gruber, Florian; Wollmann, Philipp; Grählert, Wulf; Kaskel, Stefan | Journal Article |
| 2018 | Real-time hyperspectral stereo processing for the generation of 3D depth information
Heide, Nina; Frese, Christian; Emter, Thomas; Petereit, Janko | Conference Paper |
| 2017 | Roll-to-roll suitable short-pulsed laser scribing of organic photovoltaics and close-to-process characterization
Kuntze, Thomas; Wollmann, Philipp; Klotzbach, Udo; Fledderus, Henri | Conference Paper |
| 2017 | Spectral characterization of natural backgrounds
Winkelmann, Max | Conference Paper |
| 2016 | Optical unmixing using programmable spectral source based on DMD
Luo, D.; Bauer, S.; Taphanel, M.; Längle, Thomas; Puente Leon, F.; Beyerer, Jürgen | Conference Paper |
| 2015 | Evaluation of fusion methods for gamma-divergence-based neural network ensembles
Knauer, U.; Backhaus, A.; Seiffert, U. | Conference Paper |
| 2015 | Large scale classification of spectral signatures
Richter, M.; Längle, Thomas; Beyerer, Jürgen | Journal Article |
| 2015 | Non-destructive determination of grape berry sugar concentration using visible/near infrared imaging and possible impact on wine quality
Lafontaine, M.; Bockaj, Z.; Freund, M.; Vieth, Kai-Uwe; Negara, Christian; Längle, Thomas | Journal Article |
| 2014 | Automatic in-flight boresight calibration considering topography for hyperspectral pushbroom sensors
Lenz, Andreas; Schilling, Hendrik; Perpeet, Dominik; Wuttke, Sebastian; Gross, Wolfgang; Middelmann, Wolfgang | Conference Paper |
| 2014 | Optical filter selection for automatic visual inspection
Richter, M.; Beyerer, Jürgen | Conference Paper |
| 2013 | Quantitative measurements of model interpretability for the analysis of spectral data
Backhaus, Andreas; Seiffert, Udo | Conference Paper |
| 2012 | Hyperspektrale Bildgebung
Offenberg, David | Journal Article |
| 2012 | Materialidentifikation mittels optisch realisierter Kreuzkorrelation der Reflektanzspektren
Taphanel, Miro; Gruna, Robin; Beyerer, Jürgen | Journal Article |
| 2011 | Spektrale Bandselektion für das Filterdesign optischer Inspektionssysteme
Michelsburg, M.; Gruna, R.; Vieth, K.-U.; Puente Leon, F. | Journal Article |
| 2008 | Pushbroom NIR hyperspectral imager using MOEMS scanning grating chips
Grüger, H.; Egloff, T.; Scholles, M.; Zimmer, F.; Müller, M.; Schenk, H. | Conference Paper |
| 2007 | NIR hyperspectral imaging using MOEMS scanning grating chips and linear detector array
Egloff, T.; Grüger, H.; Zimmer, F.; Schenk, H.; Scholles, M.; Lakner, H. | Conference Paper |