Automatic registration for long range laser data in the stop-and-go mode
Badawy, H., Elhabiby, M., El-Sheimy, N., Sheta, B. (2015). Automatic registration for long range laser data in the stop-and-go mode. EKB Journal Management System, 16(AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 16 – May 26 - 28, 2015), 1-11. doi: 10.21608/asat.2015.23029
H. Badawy; M. Elhabiby; N. El-Sheimy; B. Sheta. "Automatic registration for long range laser data in the stop-and-go mode". EKB Journal Management System, 16, AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 16 – May 26 - 28, 2015, 2015, 1-11. doi: 10.21608/asat.2015.23029
Badawy, H., Elhabiby, M., El-Sheimy, N., Sheta, B. (2015). 'Automatic registration for long range laser data in the stop-and-go mode', EKB Journal Management System, 16(AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 16 – May 26 - 28, 2015), pp. 1-11. doi: 10.21608/asat.2015.23029
Badawy, H., Elhabiby, M., El-Sheimy, N., Sheta, B. Automatic registration for long range laser data in the stop-and-go mode. EKB Journal Management System, 2015; 16(AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 16 – May 26 - 28, 2015): 1-11. doi: 10.21608/asat.2015.23029

Automatic registration for long range laser data in the stop-and-go mode

International Conference on Aerospace Sciences and Aviation Technology
Article 90, Volume 16, AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 16 – May 26 - 28, 2015, May 2015, Page 1-11  XML PDF (1.11 MB)
Document Type: Original Article
DOI: 10.21608/asat.2015.23029
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Authors
H. Badawy; M. Elhabiby; N. El-Sheimy; B. Sheta
Geomatics Engineering Department, University of Calgary, AB, Canada.
Abstract
In this work we are focusing of the registration of Long Range scans taken in the SAG mode, we find an automatic registration algorithm based on mapping 3D scans to 2D images. After mapping the scans to images, we use SURF matching algorithm for automatic matching points detection. Rough registration parameters can be estimated via Least Squares method based on the tie points in the two scans. To refine these registration parameters, the Iterative Closest Point (ICP) approach is used with the scans. The overall method of automation of registration is efficient in terms of speed, and accuracy, especially with many scans.
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