The Generalized Laplacian Pyramid (GLP) represents a quite general and formal solution to the integration of multisensor image data. The basic idea consists of a controlled injection of high-frequency components into resampled versions of the multispectral data, thus generalizing the HPF method reported by Chavez in 1991. Such components may be extracted by taking the difference between a higher resolution observation and an its low pass filtered version. The GLP scheme developed by IFAC is suitable for spatial enhancement of landsat TM, SPOT, Ikonos and QuickBird images. The GLP can manage images of any rationale resolution ratio: a unique low pass filter is needed, unlike the wavelet decomposition which requires a filter bank.
Multispectral Fusion of Multisensor Image Data by the Generalized Laplacian Pyramid
B Aiazzi;S Baronti;M Selva
2004
Abstract
The Generalized Laplacian Pyramid (GLP) represents a quite general and formal solution to the integration of multisensor image data. The basic idea consists of a controlled injection of high-frequency components into resampled versions of the multispectral data, thus generalizing the HPF method reported by Chavez in 1991. Such components may be extracted by taking the difference between a higher resolution observation and an its low pass filtered version. The GLP scheme developed by IFAC is suitable for spatial enhancement of landsat TM, SPOT, Ikonos and QuickBird images. The GLP can manage images of any rationale resolution ratio: a unique low pass filter is needed, unlike the wavelet decomposition which requires a filter bank.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
