A methodology for fusion LIDAR and digital images

Fei Deng; Shuiming Li; Guozhong Su

doi:10.1117/12.774214

10 November 2007 A methodology for fusion LIDAR and digital images

Fei Deng, Shuiming Li, Guozhong Su

Proceedings Volume 6795, Second International Conference on Space Information Technology; 67952C (2007) https://doi.org/10.1117/12.774214
Event: Second International Conference on Spatial Information Technology, 2007, Wuhan, China

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.

Citation Download Citation

Fei Deng, Shuiming Li, and Guozhong Su "A methodology for fusion LIDAR and digital images", Proc. SPIE 6795, Second International Conference on Space Information Technology, 67952C (10 November 2007); https://doi.org/10.1117/12.774214

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