Abstract
An extensive study on the use of mathematical morphology for the processing and analysis of multispectral and
hyperspectral image data is carried out, taking into account both the spectral and spatial property of the data. State-of-the-art techniques are enhanced and new methods are developed. As application we investigate the use of colour and multidimensional image processing in remote sensing, i.e. the classification of hyperspectral images using mathematical morphological profiles for vegetation mapping and habitat monitoring.
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