Abstract:  Due to the uncertainty and incompleteness of stereo matching and automatic reconstruction, it is impossible to reconstruct the power pylons mesh completely and perfectly from Unmanned Aerial Vehicle (UAV) images. The automatic reconstructed pylon mesh is not only difficult to be utilized, but also could affect the visualization effect of manually extracted power pylon models. Thus, this paper proposes an approach to eliminate these needless pylon meshes automatically based on vector pylon model. Firstly, the spatial bounding boxes of a pylon are constructed according to vector pylon type. Secondly, according to the vector pylon position and its spatial bounding boxes, the range of the needless pylon is located in the reconstructed mesh tile. Finally, based on the ray collision checking method, an algorithm of Incomplete Pylon Detection with Adaptive Distance Constraint (IPD-ADC) is designed to automatically eliminate the damaged towers. The proposed method can adaptively process the details of the tower base and eliminate unnecessary triangular surface while retaining the tower base and other ground information. The experiments show the correctness and practicality of the proposed method.

Key words: UAV images, multi-view reconstruction, power pylon model, ray-collison checking, model modification