Show/Hide Menu
Hide/Show Apps
anonymousUser
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Açık Bilim Politikası
Açık Bilim Politikası
Frequently Asked Questions
Frequently Asked Questions
Browse
Browse
By Issue Date
By Issue Date
Authors
Authors
Titles
Titles
Subjects
Subjects
Communities & Collections
Communities & Collections
Wavelet-Based Outlier Detection of Airborne Laser Scanning Data
Date
2009-06-13
Author
Akyay, Tolga
Karslıoğlu, Mahmut Onur
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
0
views
0
downloads
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