Paper
6 December 2004 Characterization of hyperspectral imagers and scenes: background and equipment artifacts
Author Affiliations +
Proceedings Volume 5612, Electro-Optical and Infrared Systems: Technology and Applications; (2004) https://doi.org/10.1117/12.578936
Event: European Symposium on Optics and Photonics for Defence and Security, 2004, London, United Kingdom
Abstract
Multiband and hyperspectral imagers are widespread nowadays. Different approaches and technologies are used with this purpose. One of the main problems is to deal with the huge amount of information involved in hyperspectral images. Moreover, in the majority of the cases, the kind of technology used introduces some artifacts into the images. It is necessary to take them into account depending on types of application. In this paper we have applied a multivariate statistical technique known as principal components to characterize different artifacts introduced in hyperspectral imagers. The technique permits to obtain a set of "relevant filters" that could substitute the original system under special conditions.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jose Manuel Lopez-Alonso and Javier Alda "Characterization of hyperspectral imagers and scenes: background and equipment artifacts", Proc. SPIE 5612, Electro-Optical and Infrared Systems: Technology and Applications, (6 December 2004); https://doi.org/10.1117/12.578936
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Hyperspectral imaging

Imaging systems

Staring arrays

Infrared imaging

Infrared radiation

Optical filters

Principal component analysis

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