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Proceedings Paper

Quality evaluation of different fusion techniques applied on Worldview-2 data
Author(s): Aristides Vaiopoulos; Konstantinos G. Nikolakopoulos
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Paper Abstract

In the current study a Worldview-2 image was used for fusion quality assessment. The bundle image was collected on July 2014 over Araxos area in Western Peloponnese. Worldview-2 is the first satellite that collects at the same time a panchromatic (Pan) image and 8 band multispectral (MS) image. The Pan data have a spatial resolution of 0.46m while the MS data have a spatial resolution of 1.84m. In contrary to the respective Pan band of Ikonos and Quickbird that range between 0.45 and 0.90 micrometers the Worldview Pan band is narrower and ranges between 0.45 and 0.8 micrometers. The MS bands include four conventional visible and near-infrared bands common to multispectral satellites like Ikonos Quickbird, Geoeye Landsat-7 etc., and four new bands. Thus, it is quite interesting to investigate the assessment of commonly used fusion algorithms with Worldview-2 data. Twelve fusion techniques and more especially the Ehlers, Gram-Schmidt, Color Normalized, High Pass Filter, Hyperspherical Color Space, Local Mean Matching (LMM), Local Mean and Variance Matching (LMVM), Modified IHS (ModIHS), Pansharp, Pansharp2, PCA and Wavelet were used for the fusion of Worldview-2 panchromatic and multispectral data. The optical result, the statistical parameters and different quality indexes such as ERGAS, Q and entropy difference were examined and the results are presented. The quality control was evaluated both in spectral and spatial domain.

Paper Details

Date Published: 20 October 2015
PDF: 13 pages
Proc. SPIE 9644, Earth Resources and Environmental Remote Sensing/GIS Applications VI, 96440W (20 October 2015); doi: 10.1117/12.2194453
Show Author Affiliations
Aristides Vaiopoulos, National Technical Univ. of Athens (Greece)
Konstantinos G. Nikolakopoulos, Univ. of Patras (Greece)

Published in SPIE Proceedings Vol. 9644:
Earth Resources and Environmental Remote Sensing/GIS Applications VI
Ulrich Michel; Karsten Schulz; Manfred Ehlers; Konstantinos G. Nikolakopoulos; Daniel Civco, Editor(s)

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