Journal of Applied Sciences ›› 2014, Vol. 32 ›› Issue (5): 537-542.doi: 10.3969/j.issn.0255-8297.2014.05.016

• Signal and Information Processing • Previous Articles     Next Articles

Extraction of Built-Up Areas Extraction from High-Resolution Remote-Sensing Images Using Edge Density Features

CHEN Hong, TAO Chao, ZOU Zheng-rong, SHAO Lei   

  1. School of Geosciences and Info-physics, Central South University, Changsha 410083, China
  • Received:2012-10-24 Revised:2013-02-22 Online:2014-09-23 Published:2013-02-22

Abstract: 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.

Key words:  high resolution remote sensing image, built-up area extraction, Mean Shift algorithm, edge density
features,
spatial voting

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