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Proceedings Paper

Ameliorating the spatial resolution of Hyperion hyperspectral data
Author(s): Konstantinos G. Nikolakopoulos; Panagiotis I. Tsombos; George A. Skianis; Dimitrios A. Vaiopoulos
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Paper Abstract

In this study seven fusion techniques and more especially the Ehlers, Gram-Schmidt, High Pass Filter, Local Mean Matching (LMM), Local Mean and Variance Matching (LMVM), Pansharp and PCA, were used for the fusion of Hyperion hyperspectral data with ALI panchromatic data. Both sensors are onboard on EO-1 satellite and the data are collected simultaneously. The panchromatic data has a spatial resolution of 10m while the hyperspectral data has a spatial resolution of 30m. All the fusion techniques are designed for use with classical multispectral data. Thus, it is quite interesting to investigate the assessment of the common used fusion algorithms with the hyperspectral data. The area of study is the broader area of North Western Athens near to Thrakomakedones village.

Paper Details

Date Published: 7 October 2009
PDF: 11 pages
Proc. SPIE 7478, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IX, 74780G (7 October 2009); doi: 10.1117/12.830272
Show Author Affiliations
Konstantinos G. Nikolakopoulos, Institute of Geology & Mineral Exploration (Greece)
Panagiotis I. Tsombos, Institute of Geology & Mineral Exploration (Greece)
George A. Skianis, Univ. of Athens (Greece)
Dimitrios A. Vaiopoulos, Univ. of Athens (Greece)


Published in SPIE Proceedings Vol. 7478:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IX
Ulrich Michel; Daniel L. Civco, Editor(s)

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