The paper presents a pansharpening algorithm that finds an optimal linear solution, in the MMSE sense, following a generalized component-substitution approach. It is characterized by nonlocal parameter optimization obtained through K-means clustering. The proposed method, namely C-BDSD, solves the problem of context-adaptive schemes that tune the spatial injection parameters on local statistics: instabilities and blockiness artifacts are avoided and the estimation phase is improved. The C-BDSD algorithm is accurate and fast, and can be also applied to spatially enhance large-size multi-spectral images. Very high quality scores and excellent visual quality of the fused images demonstrate the validity of the method.

Garzelli, A. (2014). Efficient MMSE pansharpening based on non-local optimization. In Proc. IEEE IGARSS 2014 (pp.195-198). IEEE [10.1109/IGARSS.2014.6946390].

Efficient MMSE pansharpening based on non-local optimization

GARZELLI, ANDREA
2014-01-01

Abstract

The paper presents a pansharpening algorithm that finds an optimal linear solution, in the MMSE sense, following a generalized component-substitution approach. It is characterized by nonlocal parameter optimization obtained through K-means clustering. The proposed method, namely C-BDSD, solves the problem of context-adaptive schemes that tune the spatial injection parameters on local statistics: instabilities and blockiness artifacts are avoided and the estimation phase is improved. The C-BDSD algorithm is accurate and fast, and can be also applied to spatially enhance large-size multi-spectral images. Very high quality scores and excellent visual quality of the fused images demonstrate the validity of the method.
2014
9781479957750
Garzelli, A. (2014). Efficient MMSE pansharpening based on non-local optimization. In Proc. IEEE IGARSS 2014 (pp.195-198). IEEE [10.1109/IGARSS.2014.6946390].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1002384
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo