Mapping Spatial Patterns with Morphological Image Processing
We use morphological image processing for classifying spatial patterns at the pixel level on binary land-cover maps. Land-cover pattern is classified as 'perforated,' 'edge,' 'patch,' and 'core' with higher spatial precision and thematic accuracy compared to a previous approach based on image convolution, while retaining the capability to label these features at the pixel level for any scale of observation. The implementation of morphological image processing is explained and then demonstrated, with comparisons to results from image convolution, for a forest map of the Val Grande National Park in North Italy
VOGT Peter;
RIITTERS Kurt;
ESTREGUIL Christine;
KOZAK Jacek Wladyslaw;
WADE Timothy;
WICKHAM James;
2007-02-19
Springer Science + Business Media B.V.
JRC34907
https://publications.jrc.ec.europa.eu/repository/handle/JRC34907,
10.1007/s10980-006-9013-2,
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