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Proceedings Paper • Open Access • new

A development overview of a signal flow model for spectral data with a final assessment under a practical point of view
Author(s): Raik Illmann; Maik Rosenberger; Gunther Notni

Paper Abstract

Concerning hyperspectral imaging, there is a need for handling big hyperspectral data. Especially merging data that was captured by different sources is very complex. Due to the different properties in resolution and other technological aspects, there are requirements for calibration, preprocessing and merging functions. This work is a summary of the approach that was developed in the framework of the Qualimess research project for handlings these demands. The invented declarative programming model is an innovative solution for implementing algorithms for all these aspects in an easy to handle signal flow model. The algorithm is designed in a way that it uses as little computing resources as possible, which is of high importance when processing and analyzing spectral cubes with standard computing systems. In this last development stage, previous investigations regarding the fusion of hyperspectral data captured by push-broom imaging systems are extended to other imaging technologies and hyperspectral 3D-imaging as well. Furthermore, there is a presentation of the developed graphical user interfaces that can be used for analyzing the data from an application-oriented point of view. These have the aim of extracting as much information as possible and presenting it to the user in a comfortable way. Finally, results in the framework of applied measurement under use of this signal processing method are presented for the first time. By evaluating this, an assessment can now be made of it under which circumstances these algorithms can be used in the context of industrial applications.

Paper Details

Date Published: 17 September 2019
PDF: 7 pages
Proc. SPIE 11144, Photonics and Education in Measurement Science 2019, 111440Z (17 September 2019); doi: 10.1117/12.2531944
Show Author Affiliations
Raik Illmann, Technische Univ. Ilmenau (Germany)
Maik Rosenberger, Technische Univ. Ilmenau (Germany)
Gunther Notni, Technische Univ. Ilmenau (Germany)


Published in SPIE Proceedings Vol. 11144:
Photonics and Education in Measurement Science 2019
Maik Rosenberger; Paul-Gerald Dittrich; Bernhard Zagar, Editor(s)

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