Ameliorating the spatial resolution of GeoEye data

Konstantinos G. Nikolakopoulos; A. D. Vaiopoulos; P. I. Tsombos

doi:10.1117/12.864442

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23 October 2010 Ameliorating the spatial resolution of GeoEye data

Konstantinos G. Nikolakopoulos, A. D. Vaiopoulos, P. I. Tsombos

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Proceedings Volume 7831, Earth Resources and Environmental Remote Sensing/GIS Applications; 783104 (2010) https://doi.org/10.1117/12.864442
Event: SPIE Remote Sensing, 2010, Toulouse, France

Abstract

GeoEye-1 is the first commercial satellite that collects images at nadir with 0.41m panchromatic and 1.65m multispectral resolution (panchromatic imagery sold to commercial customers is resampled to 0.5m resolution). In this study nine fusion techniques and more especially the Ehlers, Gram-Schmidt, High Pass Filter, Local Mean Matching (LMM), Local Mean and Variance Matching (LMVM), Modified IHS (ModIHS), Pansharp, PCA and Wavelet were used for the fusion of Geoeye panchromatic and multispectral data. The panchromatic data have a spatial resolution of 0.5m while the multispectral data have a spatial resolution of 2.0m. The optical result, the statistical parameters and different quality indexes such as ERGAS, Q and entropy were examined and the results are presented. The broader area of Agrinio city in Western Greece was selected for this comparison. It has a complex geomorphology. At the west the area is flat and the elevation ranges between 5 and 20 meters. At the east there are many hills and the elevation rises to more than 450 meters. The area combines at the same time the characteristics of an urban and a rural area thus it is suitable for a comparison of different fusion algorithms.

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Konstantinos G. Nikolakopoulos, A. D. Vaiopoulos, and P. I. Tsombos "Ameliorating the spatial resolution of GeoEye data", Proc. SPIE 7831, Earth Resources and Environmental Remote Sensing/GIS Applications, 783104 (23 October 2010); https://doi.org/10.1117/12.864442

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