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Determination of Optimal Hyper- and Multispectral Image Channels by Spectral Fractal Structure

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Innovations and Advances in Computing, Informatics, Systems Sciences, Networking and Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 313))

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Abstract

Multiband aerial mapping technology—for the high spectral and high spatial resolution images—also the phenomenal traditional aerial mapping techniques, which are more reliable, compared to data obtained during the foundation stages of the process. Over the last decade, aircraft data recording technology has developed considerably due to its applications in the field of research and has become an increasingly central theme of multiband and high spatial resolution integrated processing. This has a significant impact on assessment results. Using practical examples, the author’s show that a properly selected spectral fractal structure based on data reduction and data selection procedures, significantly contributes to the hyper- and multispectral data cube optimum exploitation of additional information.

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Acknowledgment

This research was supported by the European Union and the State of Hungary, co-financed by the European Social Fund in the framework of TÁMOP 4.2.4. A/1-11-1-2012-0001 ‘National Excellence Program’. The multispectral images were carried out partly of a project TÁMOP-4.2.2/B-10/1-2010-0025.

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Correspondence to Veronika Kozma-Bognár .

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Kozma-Bognár, V., Berke, J. (2015). Determination of Optimal Hyper- and Multispectral Image Channels by Spectral Fractal Structure. In: Sobh, T., Elleithy, K. (eds) Innovations and Advances in Computing, Informatics, Systems Sciences, Networking and Engineering. Lecture Notes in Electrical Engineering, vol 313. Springer, Cham. https://doi.org/10.1007/978-3-319-06773-5_34

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  • DOI: https://doi.org/10.1007/978-3-319-06773-5_34

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