Registration of LIDAR and optical images using multiple geometric features

Fei Deng; Shuiming Li; Jianqing Zhang; Guozhong Su

doi:10.1117/12.749173

15 November 2007 Registration of LIDAR and optical images using multiple geometric features

Fei Deng, Shuiming Li, Jianqing Zhang, Guozhong Su

Proceedings Volume 6787, MIPPR 2007: Multispectral Image Processing; 678714 (2007) https://doi.org/10.1117/12.749173
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

This paper describes an algorithm framework for registration of airborne based laser scanning data (LIDAR) and optical images by using multiple types of geometric features. The technique utilizes 2D/3D correspondences between points and lines, and it could easily be extended to general features. In generalized point photogrammetry, all lines and curves are consists of points, which could be describe in collinear equation, so it could represent all kinds of homogeneous features in an uniform framework. For many overlapping images in a block, the images are registered to the laser data by the hybrid block adjustment based on an integrated optimization procedure. In addition to the theoretical method , the paper presents a experimental analysis the sensitivity and robustness of this approach

Citation Download Citation

Fei Deng, Shuiming Li, Jianqing Zhang, and Guozhong Su "Registration of LIDAR and optical images using multiple geometric features", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 678714 (15 November 2007); https://doi.org/10.1117/12.749173

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