Wavelet-Based Outlier Detection of Airborne Laser Scanning Data

Date

2009-06-13

Author

Akyay, Tolga
Karslıoğlu, Mahmut Onur

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

Subject Keywords

Outlier detection, LIDAR, Airborne laser scanning

URI

https://hdl.handle.net/11511/52889

Collections

Graduate School of Natural and Applied Sciences, Conference / Seminar