Effective Generation and Update of a Building Map Database Through Automatic Building Change Detection from LiDAR Point Cloud Data

Effective Generation and Update of a Building Map Database Through Automatic Building Change Detection from LiDAR Point Cloud Data

Periodic building change detection is important for many applications, including disaster management. Building map databases need to be updated based on detected changes so as to ensure their currency and usefulness. This paper first presents a graphical user interface (GUI) developed to support the...

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Bibliographic Details
Main Author: Mohammad Awrangjeb
Format: Article
Language:English
Published: MDPI AG 2015-10-01
Series:Remote Sensing
Subjects:
building detection
change detection
map update
automation
LiDAR
point cloud data
Online Access:http://www.mdpi.com/2072-4292/7/10/14119

Internet

http://www.mdpi.com/2072-4292/7/10/14119

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