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Proceedings Paper

Pansharp vs. wavelet vs. PCA fusion technique for use with Landsat ETM panchromatic and multispectral data
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Paper Abstract

In this study we compare the efficiency of PCA, Pansharp and Wavelet fusion techniques for the fusion of Landsat ETM data. A Landsat 7 ETM cloud free subscene was used in this comparative study. The nearest neighborhood method has been used for the resampling and the fused images have a 15 meters pixel size. For each merged image we have examined: a) the optical qualitative result, using an ASTER vnir image with 15 meters resolution for comparison, b) the statistical parameters of the histograms of the various frequency bands, especially the standard deviation. All the fusion techniques improve the resolution and the optical result. The PCA merging technique seems better in discriminating between the coastal zone, the urban area and the rural area, maintains the natural colors but corrupts the statistical parameters. The Pansharp and the Wavelet merging technique give the best results without changing at all the statistical parameters of the original images.

Paper Details

Date Published: 10 November 2004
PDF: 11 pages
Proc. SPIE 5573, Image and Signal Processing for Remote Sensing X, (10 November 2004); doi: 10.1117/12.565726
Show Author Affiliations
Konstantinos G. Nikolakopoulos, Univ. of Athens (Greece)

Published in SPIE Proceedings Vol. 5573:
Image and Signal Processing for Remote Sensing X
Lorenzo Bruzzone, Editor(s)

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