论文信息 - Segmentation and extraction of linear features for detecting discrepancies between LIDAR data strips

Segmentation and extraction of linear features for detecting discrepancies between LIDAR data strips

Discrepancies in LIDAR data strips still exist despite the development of the system and many related researches because of its own systematic characteristics. This paper presents an algorithm for detection and adjustment of discrepancies between LIDAR strips. The extraction of conjugate features in overlapping LIDAR strips is a prerequisite step. In this paper, a simple and robust algorithm is proposed to automatically extract the linear features, which are used as conjugate features. With these linear features, discrepancies are measured and adjusted by applying 3D similarity transformation.

Yong-Il Kim | Jae-Bin Lee | Ki-Yun Yu | A.F. Habib

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