Publications

Maksim Kukushkin, Martin Bogdan, and Thomas Schmid. On optimizing morphological neural networks for hyperspectral image classification. In Wolfgang Osten (Eds.), Sixteenth International Conference on Machine Vision (ICMV 2023), (13072):1307202, SPIE, 2024. [PUMA: classification computer deep hyperspectral image learning mathematical morphological morphology networks neuronal nopdf remote sensing vision] URL

Fabian Erichsmeier, Maksim Kukushkin, Johannes Fiedler, Matthias Enders, Simon Goertz, Martin Bogdan, Thomas Schmid, and Reinhard Kaschuba. Automating the purity analysis of oilseed rape through usage of hyperspectral imaging. In Dag Heinemann, and GerritEditors Polder (Eds.), Photonic Technologies in Plant and Agricultural Science, 21, SPIE, 2024. [PUMA: Automating analysis hyperspectral imaging nopdf oilseed purity rape]

Mariia Tkachenko, Claire Chalopin, Boris Jansen-Winkeln, Thomas Neumuth, Ines Gockel, and Marianne Maktabi. Impact of pre- and post-processing steps for supervised classification of colorectal cancer in hyperspectral images. Cancers (Basel), (15)7April 2023. [PUMA: topic_lifescience cancer cancer; classification; colorectal convolutional filter; hyperspectral imaging; learning; machine median networks; post-processing; pre-processing]