Environmental Engineering Reference
In-Depth Information
10
Spatial enhancement of multispectral
images on urban areas
Bruno Aiazzi, Stefano Baronti, Luca Capobianco,
Andrea Garzelli and Massimo Selva
Spatial enhancement, usually denoted as Pan-sharpening, consists in increasing the spatial resolution of a
multispectral (MS) image by means of a panchromatic (Pan) observation of the same scene, acquired with a higher
spatial resolution, by preserving or enhancing (Thomas et al., 2008) the radiometric quality of the original MS
image. Many techniques have been proposed so far for Pan-sharpening. Multiresolution analysis (MRA) and
component substitution (CS) are the two basic frameworks to which image fusion algorithms can be reported.
State-of-the-art algorithms add the spatial details extracted from the Pan image into the MS data set by
considering different injection strategies. The capability of efficiently modeling the relationships between MS and
Pan images is crucial for the quality of fusion results and particularly for a correct recovery of local features.
Context-adaptive (CA) injection models have been proposed in the MRA and more recently in the CS frameworks.
In this chapter some of the most recent state-of-the-art Pan-sharpening algorithms are reported. Their
performances are discussed in terms of objective and visual quality, taking into account the specific objective of
spatial accuracy that is crucial for the analysis of urban areas.
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