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Proceedings Paper

Wavelet-based hyperspectral and multispectral image fusion
Author(s): Richard B. Gomez; Amin Jazaeri; Menas Kafatos
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Paper Abstract

Different research groups have recently studied the concept of wavelet image fusion between panchromatic and multispectral images using different approaches. In this paper, a new approach using the wavelet based method for data fusion between hyperspectral and multispectral images is presented. Using this wavelet concept of hyperspectral and multispectral data fusion, we performed image fusion between two spectral levels of a hyperspectral image and one band of multispectral image. The reconstructed image has a root mean square error of 2.8 per pixel and a signal-to- noise ratio of 36 dB. We achieved our goal of creating a composite image that has the same spectral resolution as the hyperspectral image and the same spatial resolution as the multispectral image with minimum artifacts.

Paper Details

Date Published: 1 June 2001
PDF: 7 pages
Proc. SPIE 4383, Geo-Spatial Image and Data Exploitation II, (1 June 2001); doi: 10.1117/12.428249
Show Author Affiliations
Richard B. Gomez, George Mason Univ. (United States)
Amin Jazaeri, George Mason Univ. (United States)
Menas Kafatos, George Mason Univ. (United States)

Published in SPIE Proceedings Vol. 4383:
Geo-Spatial Image and Data Exploitation II
William E. Roper, Editor(s)

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