Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1191-1197, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-1191-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1191-1197, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-1191-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Apr 2018

30 Apr 2018

AUTOMATIC GLOBAL REGISTRATION BETWEEN AIRBORNE LIDAR DATA AND REMOTE SENSING IMAGE BASED ON STRAIGHT LINE FEATURES

Z. Q. Liu1,3, P. C. Li2,3, S. H. Huang1, C. L. Ye1, Q. Ma1, and J. J. Yang1 Z. Q. Liu et al.
  • 1Zhengzhou Campus, Army Academy of Artillery and Air Defense, China
  • 2Zhengzhou Institute of Surveying and Mapping, China
  • 3State Key Laboratory of Geo-information Engineering, China

Keywords: Registration, Automatic, LiDAR, Remote Sensing, Straight Line, Similarity Measure

Abstract. An automatic global registration approach for point clouds and remote sensing image based on straight line features is proposed which is insensitive to rotational and scale transformation. First, the building ridge lines and contour lines in point clouds are automatically detected as registration primitives by integrating region growth and topology identification. Second, the collinear condition equation is selected as registration transformation function which is based on rotation matrix described by unit quaternion. The similarity measure is established according to the distance between the corresponding straight line features from point clouds and the image in the same reference coordinate system. Finally, an iterative Hough transform is adopted to simultaneously estimate the parameters and obtain correspondence between registration primitives. Experimental results prove the proposed method is valid and the spectral information is useful for the following classification processing.