Automatic building extraction from laser scanning data: an input tool for disaster management


Dash, J., Steinle, E., Singh, R.P. and Bähr, H.P. (2004) Automatic building extraction from laser scanning data: an input tool for disaster management. Advances in Space Research, 33, (3), 317-322. (doi:10.1016/S0273-1177(03)00482-4).

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Description/Abstract

Estimation of damages caused by a disaster is a major task in the post disaster mitigation process. To enhance the relief and rescue operation in the affected area it is required to get a near real time damage model. For this purpose a fast method of data acquisition with suitable methods for extracting the man-made objects is required. Laser scanning data provide the height of the ground objects, which can be used for developing models to extract the man-made features in a complex urban environment. Using the height variation along the periphery of objects present in the data, a method based on standard deviation was developed to distinguish between tree and building.

Item Type: Article
Related URLs:
Keywords: Laser scanning, disaster management, building extraction
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
Divisions: University Structure - Pre August 2011 > School of Geography > Remote Sensing and Spatial Analysis
ePrint ID: 15433
Date Deposited: 13 Apr 2005
Last Modified: 27 Mar 2014 18:05
URI: http://eprints.soton.ac.uk/id/eprint/15433

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