AbstractEstimation 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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    Title :

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


    Contributors:
    Dash, J (author) / Steinle, E (author) / Singh, R.P (author) / Bähr, H.P (author)

    Published in:

    Advances in Space Research ; 33 , 3 ; 317-322


    Publication date :

    2003-01-01


    Size :

    6 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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