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Wavelet-Based Outlier Detection of Airborne Laser Scanning Data

Akyay, Tolga
Karslıoğlu, Mahmut Onur
The method of airborne laser scanning - also named as ALS - 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 of airborne laser scanning data is discussed. The task is to investigate the effect of wavelet-based outlier detection for post-processing. Data and results are analyzed and visualized by using a MATLAB program which was developed during this work.