Julius Tschannerl

Near-infrared hyperspectral imaging for non-destructive classification of commercial tea products

Puneet Mishra, Alison Nordon, Julius Tschannerl et al. · Journal of Food Engineering · 2018 · 80 citations · Full text

Near-infrared Hyperspectral Imaging, Engineering, Imaging Spectroscopy +9

MIMR-DGSA: Unsupervised hyperspectral band selection based on information theory and a modified discrete gravitational search algorithm

Julius Tschannerl, Jinchang Ren, Peter Yuen et al. · Information Fusion · 2019 · 70 citations · Full text

Search Optimization, Engineering, Information Theory +3

Nondestructive Phenolic Compounds Measurement and Origin Discrimination of Peated Barley Malt Using Near-Infrared Hyperspectral Imagery and Machine Learning

Yijun Yan, Jinchang Ren, Julius Tschannerl et al. · IEEE Transactions on Instrumentation and Measurement · 2021 · 43 citations · Full text

Plant Analysis, Precision Agriculture, Engineering +19

Novel Gumbel-Softmax Trick Enabled Concrete Autoencoder With Entropy Constraints for Unsupervised Hyperspectral Band Selection

He Sun, Jinchang Ren, Huimin Zhao et al. · IEEE Transactions on Geoscience and Remote Sensing · 2021 · 43 citations · Full text

Semi-supervised Learning, Convolutional Neural Network, Image Analysis +14

Potential of UV and SWIR hyperspectral imaging for determination of levels of phenolic flavour compounds in peated barley malt

Julius Tschannerl, Jinchang Ren, Frances Jack et al. · Food Chemistry · 2018 · 42 citations

Food Chemistry, Phenolic Flavour Compounds, Engineering +6