By Topic

Semi-automatic building extraction from high resolution remote sensing imagery based on Mathematical Morphology

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Shuqiang Lu ; Beijing University of Civil Engineering and Architecture, China ; Xiuzhong Chen ; Jiaxin Fu

A semi-automatic building extraction method based on Mathematical Morphology is proposed in this paper. Firstly, the threshold value is chosen according to the experiment result to get the binary image. And then, the binary image is processed with erosion and dilation operators repetitively to improve the smoothness, connectedness and accuracy of the regions. Moreover, the open and close operators are performed on the image to remove many kinds of noises such as holes, spurs and isolated points. Furthermore, the connected regions are segmented and identified. The building index of each region, which is the ratio of area to perimeter in this paper, is calculated to determine whether each region is a building or not. Finally, the experiment results are given and analyzed to testify the method proposed in this paper.

Published in:

Multimedia Technology (ICMT), 2011 International Conference on

Date of Conference:

26-28 July 2011