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Simulation-Based Evaluation of Wavelet Coefficients for Robust Analysis of Near Infrared Spectra

: Krause, Julius

Fulltext urn:nbn:de:0011-n-5521963 (7.1 MByte PDF)
MD5 Fingerprint: 89de5c99cc7b540e6f74a944081812f2
Created on: 19.7.2019

Beyerer, Jürgen (Ed.); Taphanel, Miro (Ed.); Taphanel, Miro (Ed.):
Proceedings of the 2018 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory
Karlsruhe: KIT Scientific Publishing, 2019 (Karlsruher Schriften zur Anthropomatik 40)
ISBN: 978-3-7315-0936-3
ISBN: 3-7315-0936-9
DOI: 10.5445/KSP/1000094782
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation and Institute for Anthropomatics, Vision and Fusion Laboratory (Joint Workshop) <2018, Triberg-Nussbach>
Conference Paper, Electronic Publication
Fraunhofer IOSB ()

Near infrared spectroscopy is a common method for analysis of food, soil and
pharmaceutical products. New developments in sensor technology, like hyperspectral camera systems and mobile spectrometers, allow broad applications of spectroscopy with devices out of specialized laboratories. Wavelet coefficients are a promising approach for the detection and estimation of spectral absorption bands. The robustness of wavelet based features against typical measuring influences and calibration errors will be analyzed in the following by using simulations.