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(b)
Figure.7 (a) threshold is 8 (b) threshold is 5
(b)
Figure.8 (a) (b) Extraction results
5.2 Conclusion
In this paper, we suppose a robust and semi-automatic approach
to deal with building extraction. This approach is not restricted
by the shape of the building. It can precisely extract the
boundary of rectangular building with homogeneous flat
rooftop with a very low computation complexity which is
important in data production. The second schema (matrix search)
supposed introduce a new method to represent shape of
rectangle or combination of rectangle. Pivotal reason is that it
depends on the robustness of Hough transform and utilizes a
new mathematic model to represent shape. However, it has
some disadvantages; for example, it heavily depends on the
approximate shape derived via grown algorithm. If the grown
result is not satisfactory, the extraction may be failed in a large
extent. Several aspects of the proposed scheme need further
research. Adaptive region grow approach needs to be explored
to improve the detection of the building approximate shape.
Some other characteristics and processes should be incorporated
into this scheme such as image segmentation. In the future
research, these issues should be addressed.
ACKNOWLEDGEMENT
This work is carried out under the Project for Young Scientist
Fund sponsored by the National Natural Science Foundations of
China (40401037) and National Key Basic Research and
Development Program of China (2006CB701303).The author
would like to thank Dr Xiangguo, L., and Na, J., for their
inspiration and encouragement.
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