Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/46832
Title: Color and spatial distortions of pan-sharpening methods in real and synthetic images
Authors: Medina, A.
Marcello, J. 
Eugenio González, Francisco 
Rodríguez Esparragón, Dionisio 
Martín, J. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Pan-sharpening algorithms
Image fusion
Spatial resolution
Pixel-Level Fusion
Very High Resolution
Quality Indicators
Ergas
Wavelet Transform
Ihs
Issue Date: 2012
Journal: Proceedings of SPIE - The International Society for Optical Engineering 
Conference: Image and Signal Processing for Remote Sensing XVIII 
Abstract: Image fusion is the process of combining information from two or more images into a single composite image that is more informative for visual perception or additional processing. Pan-sharpening algorithms work either in the spatial or in the transform domain and the most popular and effective methods include arithmetic combinations (Brovey transform), the intensity-hue-saturation transform (IHS), principal component analysis (PCA) and different multiresolution analysis-based methods, typically wavelet transforms. In recent years, a number of image fusion quality assessment metrics have been proposed. Automatic quality assessment is necessary to evaluate the possible benefits of fusion, to determine an optimal setting of parameters, as well as to compare results obtained with different algorithms to check the improvement of spatial resolution while preserving the spectral content of the data. This work addresses the challenging topic of the quality evaluation of pan-sharpening methods. In particular, a database with a synthetic image and real GeoEye satellite data was created and several pan-sharpening methods were implemented and tested. Some interesting results about the color and the spatial distortions of each method were presented and it was demonstrated that some colors bands are more affected than others depending on the fusion techniques. After the evaluation of these fusion algorithms, we can conclude that, in general, the à trous wavelet-based methods achieve the best spectral performance while the IHS-based techniques attain the best spatial accuracy.
URI: http://hdl.handle.net/10553/46832
ISBN: 9780819492777
ISSN: 0277-786X
DOI: 10.1117/12.974566
Source: Proceedings of SPIE - The International Society for Optical Engineering[ISSN 0277-786X],v. 8537 (853703)
Appears in Collections:Actas de congresos
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