Title :
Pan-sharpening of multispectral images: a critical review and comparison
Author :
Garzelli, Andrea ; Nencini, Filippo ; Alparone, Luciano ; Aiazzi, Bruno ; Baronti, Stefano
Author_Institution :
Dept. of Inf. Eng., Siena Univ.
Abstract :
This paper critically reviews state of the art and advanced methods for multispectral (MS) and panchromatic (Pan) image fusion based on either intensity-hue-saturation (IHS) transformation, or redundant multiresolution analysis (MRA). In either case, lower-resolution MS bands are sharpened by injecting details taken from the higher-resolution Pan image. Crucial point is modeling the relationships between detail coefficients of a generic MS band and the Pan image at the same resolution. Once calculated at the coarser resolution, where both types of data are available, such a model shall be extended to the finer resolution to weight the Pan details to be injected. Two injection models embedded in an "a trous" wavelet decomposition will be compared on a test set of very high resolution QuickBird MS+Pan data. One works on approximations and provides a partial unmixing of coarse MS pixels via high-resolution Pan. Another is based on spectral fidelity of original and merged MS data. Fusion comparisons on spatially degraded data, whose high-resolution MS originals are available for reference, show that the former performs better than the latter, in terms of both spatial and spectral fidelity
Keywords :
geophysical signal processing; image processing; reviews; sensor fusion; wavelet transforms; IHS transformation; MRA; QuickBird MS+Pan data; a trous wavelet decomposition; coarse MS pixels; coarser-finer resolution; generic MS band; high-resolution MS original; intensity-hue-saturation; multispectral image fusion; original/merged MS data; panchromatic image fusion; panchromatic image sharpening; redundant multiresolution analysis; reviews; spatially degraded data; spectral fidelity; state-of-the-art method; Councils; Degradation; Image fusion; Image resolution; Multiresolution analysis; Multispectral imaging; Physics; Principal component analysis; Spatial resolution; Testing;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1368950