Title: Mapping Spatial Patterns with Morphological Image Processing
Authors: VOGT PETERRIITTERS KURTESTREGUIL CHRISTINEKOZAK Jacek WladyslawWADE TimothyWICKHAM James
Citation: LANDSCAPE ECOLOGY vol. 22 p. 171-177
Publisher: Springer Science + Business Media B.V.
Publication Year: 2007
JRC N°: JRC34907
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC34907
Type: Articles in Journals
Abstract: 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
JRC Institute:Institute for Environment and Sustainability

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