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eISSN 2029-7092 online
eISBN 978-609-457-640-9
ISBN 978-609-457-690-4 CD
Technologies of Geodesy and Cadastre

Michal Kedzierski, Michalina Wilinska, Damian Wierzbicki, Anna Fryskowska, Paulina Delis

Image data fusion for flood plain mapping

Conference Information: 9th International Conference “Environmental Engineering”, 22–23 May 2014, Vilnius, LITHUANIA
Source: ICEE-2014 - International Conference on Environmental Engineering
Book Series: International Conference on Environmental Engineering (ICEE) Selected papers
ISSN: eISSN 2029-7092 online
ISBN: eISBN 978-609-457-640-9
ISBN: ISBN 978-609-457-690-4 CD
Year: 2014
Publisher: Vilnius Gediminas Technical University Press Technika

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Mini multispectral sensors are an insufficient source of imagery to perform appropriate analyses, due to the low spatial resolution of imagery. Therefore, in many cases it is necessary to conduct data fusion. However, using common pansharpening methods may not be sufficient. Therefore, the authors propose a new method for processing and sharpening multispectral data acquired with a mini multispectral camera, for mapping purposes, especially in flooded areas and flood plains, in rapid time. The proposed algorithm of sharpening is based on the use of the decorrelation process of multispectral images and their transformation to the YCBCR color space, where the luminance component is converted to the blue band of the high resolution image and then an inverse transformation to the RGB color space is performed, resulting in imagery with a high spatial and spectral resolution. The results of our research were compared with pansharpened multispectral images generated using classical methods: IHS, PCA, Brovey, Ehlers, wavelet and multiplicative transforms. Moreover, an assessment of a quality of the sharpened spectral images by determining: R-RMSE, ERGAS and Q Index indicators was performed.

Keywords: mapping technology; data fusion; pansharpening; multispectral images; flood plain.

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