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Mapping spatial patterns with morphological image processing

delete2006-08-05
delete481
PRE
AI
P
Peter Vogt *
K
Kurt H. Riitters
C
Christine Estreguil
J
Jacek Kozak
T
Timothy G. Wade
DOI：10.1007/s10980-006-9013-2delete
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Abstract

Abstract

En 中文
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.
Keywords:
morphological image processing
spatial pattern
forest fragmentation

Journal

Landscape Ecology cover
Landscape Ecology
IF:
3.7
Papers:
3.8K
Citations:
1.4W

Organization

No organization information available