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- W2072394583 abstract "With the advantages of high resolution and accuracy, airborne laser scanning data are widely used in topographic mapping. In order to generate a DTM, measurements from object features such as buildings, vehicles and vegetation have to be classified and removed. However, the automatic extraction of bare earth from point clouds acquired by airborne laser scanning equipment remains a problem in LIDAR data filtering nowadays. In this paper, a filter algorithm based on wavelet analysis is proposed. Relying on the capability of detecting discontinuities of continuous wavelet transform and the feature of multi-resolution analysis, the object points can be removed, while ground data are preserved. In order to evaluate the performance of this approach, we applied it to the data set used in the ISPRS filter test in 2003. 15 samples have been tested by the proposed approach. Results showed that it filtered most of the objects like vegetation and buildings, and extracted a well defined ground model." @default.
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- W2072394583 date "2007-11-15" @default.
- W2072394583 modified "2023-09-23" @default.
- W2072394583 title "Ground extraction from airborne laser data based on wavelet analysis" @default.
- W2072394583 doi "https://doi.org/10.1117/12.750425" @default.
- W2072394583 hasPublicationYear "2007" @default.
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