Paper Info
Title
Delimiting imprecise regions with georeferenced photos and land coverage data
Abstract
This paper presents an automated method for defining the boundaries of imprecise regions with basis on publicly available data. The method combines interpolation from a set of points which are assumed to lie in the region to be delineated, obtained from Flickr and evaluated through Kernel Density Estimation, with heuristics for refining the results that leverage on land coverage datsets obtained through remote sensing, integrated through an approached based on region shrinkage. The overall approach is evaluated by means of statistical classification measures, using regions whose boundaries are well defined. Our results shows that the method proposed here performs better than previous approaches described in the litterature, based solely on interpolation through Kernel Density Estimation.
Year
DOI
Venue
2011
10.1007/978-3-642-19173-2_17
W2GIS
Keywords
Field
DocType
land coverage data,imprecise region,available data,region shrinkage,georeferenced photo,land coverage,automated method,overall approach,kernel density estimation,previous approach,statistical classification measure,kernel density estimate,remote sensing
Data mining,Computer science,Interpolation,Georeference,Coverage data,Heuristics,Statistical classification,Kernel density estimation
Conference
Volume
ISSN
Citations 
6574
0302-9743
2
PageRank 
References 
Authors
0.38
11
1
Name
Order
Citations
PageRank
Bruno Martins144134.58