Built-up area contains obvious edge features. We propose a method to extract edge-based built-up
area from high resolution remote sensing images. The algorithm includes three steps: smoothing the original
image with a mean shift algorithm, extracting edges with the Canny operator and fitting them as several
straight lines, and forming a spatial voting matrix based on the edge distribution and extracting the built-up
area using the Ostu’s method. Experimental results show that the proposed approach can detect built-up areas
in images with complicated background. It is highly robust and accurate.
CHEN Hong, TAO Chao, ZOU Zheng-rong, SHAO Lei
. Extraction of Built-Up Areas Extraction from High-Resolution Remote-Sensing Images Using Edge Density Features[J]. Journal of Applied Sciences, 2014
, 32(5)
: 537
-542
.
DOI: 10.3969/j.issn.0255-8297.2014.05.016
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