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