Automatic building extraction based on improved watershed segmentation, mutual information match and snake model
by Gang Li; Jinliang An; Youchuan Wan
International Journal of Computer Applications in Technology (IJCAT), Vol. 43, No. 2, 2012

Abstract: Automatic building extraction from high resolution remote sensing image has been a research hotspot. It is also a recognised difficulty because of the diversity and complexity of building structures. This paper proposes a new method for automatic building extraction based on improved watershed segmentation, mutual information match and improved snake model. Our method was divided into four stages, which were homogenous region generation, building template extraction, candidate building region selection and building boundary determination. Firstly, an improved watershed segmentation algorithm was proposed. The improvements included the adaptive de-noising method based on wavelet transformation and the marker extraction based on gradient flatness index. Secondly, building templates were extracted based on shape features and shape restrictions. Thirdly, candidate building regions were selected based on mutual information match. Finally, the traditional snake model was improved in two aspects: automatic determination of initial snake contour and new energy equation. According to the experiment results, our method can improve the accuracy of building extraction, and almost all the buildings are extracted correctly.

Online publication date: Sat, 24-Mar-2012

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Applications in Technology (IJCAT):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com