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Wavelet-based outlier detection and denoising of airborne laser scanning data
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Date
2008
Author
Akyay, Tolga
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The method of airborne laser scanning also named as LIDAR has recently turned out to be an efficient way for generating high quality digital surface and elevation models. In this work, wavelet-based outlier detection and different wavelet thresholding (wavelet shrinkage) methods for denoising of airborne laser scanning data are discussed. The task is to investigate the effect of wavelet-based outlier detection and find out which wavelet thresholding methods provide best denoising results for post-processing. Data and results are analyzed and visualized by using a MATLAB program which was developed during this work.
Subject Keywords
Geographic Information System (GIS)
,
Geodesy.
URI
http://etd.lib.metu.edu.tr/upload/12610164/index.pdf
https://hdl.handle.net/11511/18057
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Graduate School of Natural and Applied Sciences, Thesis
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T. Akyay, “Wavelet-based outlier detection and denoising of airborne laser scanning data,” M.S. - Master of Science, Middle East Technical University, 2008.
