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).
Full text not available from this repository.
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.
|Digital Object Identifier (DOI):||doi:10.1016/S0273-1177(03)00482-4|
|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
|Date Deposited:||13 Apr 2005|
|Last Modified:||06 Aug 2015 02:16|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
Actions (login required)