Study on a New Extraction Method of Statistical Information of Urban Buildings Based on High Resolution Remote Sensing Images in Earthquake Damage Prediction

Yong Mei Zhai; Qi Zhao; Tie Zheng Li

doi:10.4028/www.scientific.net/AMR.446-449.3211

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 446-449Study on a New Extraction Method of Statistical...

Study on a New Extraction Method of Statistical Information of Urban Buildings Based on High Resolution Remote Sensing Images in Earthquake Damage Prediction

Abstract:

How to get the enormous statistical information of target buildings has long been a very significant subject in urban earthquake disaster prevention planning. However, the traditional methods to extract the statistical information of urban buildings are complex and time consuming, proved to be difficult in application. This paper presents a new practical method to extract statistical information of urban buildings through rotating high resolution remote sensing images and scanning the pixels, and then compares the data from high resolution remote sensing images with measured data to verify the precision of the method. With this method, some buildings in a county in Henan province are analyzed as an illustrative example, the encouraging results of which demonstrate that this simple and practical method is not only theoretically correct but also precise enough to satisfying the demands of fast extraction of building information on in urban earthquake disaster prevention planning.

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Periodical:

Advanced Materials Research (Volumes 446-449)

Pages:

3211-3217

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.446-449.3211

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Online since:

January 2012

Authors:

Yong Mei Zhai, Qi Zhao, Tie Zheng Li

Keywords:

Extraction of Building Information, Floor Area, High Resolution Remote Sensing Image, Site Area, Story Number

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References

[1] Baatz,M. and Schepe,A. Multiresolution Segmentation: an Optimization approach for high quality multi-scale image segmentation. In: Strobl,J. and Blaschke, T.(Eds.):Angewandte Geogr. Information sverarbeitung XII, Wichmann, Heidelberg, 2000:12-23

Google Scholar

[2] Y.Zhang, Z.X. Zhang.et al.: Journal Wuhan Technical University of Surveying and Mapping.Vol.25 (2000),p.238, in Chinese

Google Scholar

[3] L.Hou, D.Yin .et al. : Computer Simulation. Vol.23(2006),p.184, in Chinese

Google Scholar

[4] F.Cheng, Thiel K H: Int. J. Remote Sensing.Vol.16 (1995),p.405, in Chinese

Google Scholar

[5] Y.B. Zheng.: Master Degree thesis of Tongji University.2008, in Chinese

Google Scholar

[6] L.F. Liu, R.J. Wang.et al:Remote Sensing Technology and Application .Vol.24(2009),p.243, in Chinese

Google Scholar