Title: Quantitative estimation of settlement density and limits based on textural measurements
Citation: 2011 Joint Urban Remote Sensing Event (JURSE) - ISBN: 978-1-4244-8657-1 p. 89-93
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Publication Year: 2011
JRC N°: JRC60743
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC60743
DOI: 10.1109/JURSE.2011.5764726
Type: Articles in periodicals and books
Abstract: This paper explores a new method for quantitative estimation of building density and settlement edges based on textural measurements. The evaluation employs an ordered multi-scale, linear regression scheme in which scale corresponds to spatial resolution and is represented by a kernel. The kernel size in the experiment described, ranges from 30 to 1000 meters for a test area of approximately 10.6 x 26.6 km over the city of Sana'a, Yemen. The input data is a very high resolution (VHR) satellite image, courtesy of Quickbird, and the reference data is the cadastral map of the city at scale 1:10.000. Computing the goodness of fit measure R2, the comparison of reference data against the image-derived measurements, shows an overall performance for the settlement density of 80% at scale s=200m and 90% at s=1km.
JRC Directorate:Space, Security and Migration

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