Mapping spatial patterns with morphological image processing

被引：418
|
作者：
Vogt, Peter
Riitters, Kurt H.
Estreguil, Christine
Kozak, Jacek
Wade, Timothy G.
机构：
[1] European Commiss, DG Joint Res Ctr, IES, Land Management & Nat Hazards Unit LMNH, I-21020 Ispra, VA, Italy
[2] US Forest Serv, So Res Stn, Res Triangle Pk, NC 27709 USA
[3] Jagiellonian Univ, Inst Geog & Spatial Management, PL-30387 Krakow, Poland
[4] US EPA, Div Environm Sci, Res Triangle Pk, NC 27711 USA
来源：
LANDSCAPE ECOLOGY | 2007年 / 22卷 / 02期
关键词：
morphological image processing; spatial pattern; forest fragmentation;
D O I：
10.1007/s10980-006-9013-2
中图分类号：
Q14 [生态学（生物生态学）];
学科分类号：
071012 ; 0713 ;
摘要：
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.
引用
收藏
页码：171 / 177
页数：7
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