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Proceedings Paper

A methodology for fusion LIDAR and digital images
Author(s): Fei Deng; Shuiming Li; Guozhong Su
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Paper Abstract

This paper describes an algorithm framework for fusion airborne based laser scanning data (LIDAR) and optical images. A efficient and reliable intensity-based registration framework has been used to determining the spatial transform form LIDAR to optical images. On the basis of segmented airborne images, the paper raises the arithmetic and process of merging multi-data sources to carry through classification by using multi-echo, point's space discrete characteristics, and the statistic spectrum characteristics. In addition to the theoretical method, the paper presents a experimental analysis the sensitivity and robustness of this approach to assess effectiveness the proposed arithmetic.

Paper Details

Date Published: 10 November 2007
PDF: 6 pages
Proc. SPIE 6795, Second International Conference on Space Information Technology, 67952C (10 November 2007); doi: 10.1117/12.774214
Show Author Affiliations
Fei Deng, Wuhan Univ. (China)
Shuiming Li, Wuhan Univ. (China)
Guozhong Su, Academy of Opto-Electronics (China)

Published in SPIE Proceedings Vol. 6795:
Second International Conference on Space Information Technology
Cheng Wang; Shan Zhong; Jiaolong Wei, Editor(s)

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