Application specific band selection with multivariate methods of analysis for a-Si:H multispectral photodiodes

Christian Merfort; Andreas Bablich; Oliver Schwaneberg; Krystian Watty; Markus Boehm

doi:10.1117/12.918456

24 May 2012 Application specific band selection with multivariate methods of analysis for a-Si:H multispectral photodiodes

Christian Merfort, Andreas Bablich, Oliver Schwaneberg, Krystian Watty, Markus Boehm

Author Affiliations +

Proceedings Volume 8390, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII; 839024 (2012) https://doi.org/10.1117/12.918456
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

In the recent past the generation and processing of multispectral data have had an immense impact on optical characterization systems. A virtual test environment is used to examine which bands provide a high information density. The photocurrent j = ∫ E(λ)*S_abs(λ)*r(λ) dλ was calculated for different light sources E, spectral response curves Sabs (bands), and the reflectance r of whitish powder samples that were suspected to be dangerous or illegal. The multivariate dataset will have to be determined whether we can gain any knowledge from this. The employed factor analysis is a common method of the group of structure-discovering methods and provides good results in the discovery of connections between parameters. It is particularly used if a variety of parameters must be reduced for some reason. For the verification, a dimension of the external separation is defined. To carry out this an n-dimensional vector P must be assigned to each measurement that is registered in the matrix M to determine the volume V of this dot cloud. The dimension normalized volume is defined as ΔCL, where n is the quantity of employed bands. The reliability of the complete measurement system is made by a membership function μ(P) comparable to the definitions from the area of the fuzzy sets. The parameter μ indicates with which reliability a measured pattern P could be assigned to a sample S from a dataset. The use of such optimized multispectral photodiodes would simplify and accelerate the identification of potentially dangerous substances.

Citation Download Citation

Christian Merfort, Andreas Bablich, Oliver Schwaneberg, Krystian Watty, and Markus Boehm "Application specific band selection with multivariate methods of analysis for a-Si:H multispectral photodiodes", Proc. SPIE 8390, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, 839024 (24 May 2012); https://doi.org/10.1117/12.918456

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KEYWORDS

Sensors

Photodiodes

Reliability

Light sources

Chlorine

Fuzzy logic

Clouds

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