TY - T1 - Multisource Point Clouds, Point Simplification and Surface Reconstruction SN - / 2072-4292 UR - http://hdl.handle.net/10138/309700 T3 - Remote Sensing A1 - Zhu, Lingli; Kukko, Antero; Virtanen, Juho-Pekka; Hyyppä, Juha; Kaartinen, Harri; Hyyppä, Hannu; Turppa, Tuomas A2 - PB - MDPI Y1 - 2019 LA - en AB - As data acquisition technology continues to advance, the improvement and upgrade of the algorithms for surface reconstruction are required. In this paper, we utilized multiple terrestrial Light Detection And Ranging (Lidar) systems to acquire point clouds with different levels of complexity, namely dynamic and rigid targets for surface reconstruction. We propose a robust and effective method to obtain simplified and uniform resample points for surface reconstruction. The method was evaluated. A ... VO - 11 IS - 22 SP - OP - KW - point simplification; surface reconstruction; Alpha shapes; screened Poisson reconstruction; APSS; Crust N1 - PP - ER -