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Automatic Geo-referencing Mobile Laser Scanning Data to Uav Images : Volume Xl-1/W4, Issue 1 (26/08/2015)

By Gao, Y.

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Book Id: WPLBN0004014591
Format Type: PDF Article :
File Size: Pages 6
Reproduction Date: 2015

Title: Automatic Geo-referencing Mobile Laser Scanning Data to Uav Images : Volume Xl-1/W4, Issue 1 (26/08/2015)  
Author: Gao, Y.
Volume: Vol. XL-1/W4, Issue 1
Language: English
Subject: Science, Isprs, International
Collections: Periodicals: Journal and Magazine Collection, Copernicus Publications
Historic
Publication Date:
2015
Publisher: Copernicus Publications, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Fu, Z., Huang, X., Zhang, F., Gao, Y., & Yang, C. (2015). Automatic Geo-referencing Mobile Laser Scanning Data to Uav Images : Volume Xl-1/W4, Issue 1 (26/08/2015). Retrieved from http://community.worldlibrary.net/


Description
Description: LIESMARS, Wuhan University, China. In this paper, a framework for adjusting mobile laser scanning point cloud data to improve the accuracy is proposed by integrating high resolution UAV images and MLS. First, aerial triangulated images with a few high accuracy ground control points are taken as control information. Then, a hierarchical strategy is proposed for robust pairwise registration of feature points between point cloud and images, so as to find the deviation of the point cloud. In the next step, a shape-preserving piecewise cubic interpolating method is employed to fit the time dependent error model of the trajectory. Finally, experiments are given to prove the effectiveness of proposed framework.

Summary
AUTOMATIC GEO-REFERENCING MOBILE LASER SCANNING DATA TO UAV IMAGES

 

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