Automatic building extraction based on improved watershed segmentation, mutual information match and snake model Online publication date: Tue, 27-Mar-2012
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: Tue, 27-Mar-2012
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