Abstract
The multispectral or vector character of most remote sensing image data renders it amenable to spectral transformations that generate new sets of image components or bands. These components then represent an alternative description of the data, in which the new components of a pixel vector are related to its old brightness values in the original set of spectral bands via a linear operation. The transformed image may make evident features not discernable in the original data or alternatively it might be possible to preserve the essential information content of the image (for a given application) with a reduced number of the transformed dimensions. The last point has significance for displaying data in the three dimensions available on a colour monitor or in colour hardcopy, and for transmission and storage of data.
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© 1993 Springer-Verlag Berlin Heidelberg
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Richards, J.A. (1993). Multispectral Transformations of Image Data. In: Remote Sensing Digital Image Analysis. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-88087-2_6
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DOI: https://doi.org/10.1007/978-3-642-88087-2_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-58219-9
Online ISBN: 978-3-642-88087-2
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