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.
Scheda prodotto non validato
Scheda prodotto in fase di analisi da parte dello staff di validazione