Details

Autor(en) / Beteiligte

• Chunsen, Zhang
• Qiyuan, Zhang

Titel

Research on Volumetric Calculation of Multi-Vision Geometry UAV Image Volume

Ist Teil von

• 2018 Fifth International Workshop on Earth Observation and Remote Sensing Applications (EORSA), 2018, p.1-4

Ort / Verlag

IEEE

Erscheinungsjahr

2018

Link zum Volltext

Quelle

IEEE Xplore (IEEE/IET Electronic Library - IEL)

Beschreibungen/Notizen

• For the calculation of bulk volume, the conventional method is to use RTK or total station to measure a certain density of three-dimensional coordinate points on the surface of the heap, and then use the grid method or DTM method to calculate the bulk volume. However, in practice, many objects to be measured are large or inconvenient to be measured at close range, so conventional methods are difficult to adapt at this time. In addition, the density of the coordinate points obtained by the conventional method is low, which affects the accuracy of the calculation result, and the cost-effectiveness ratio is low. Fortunately, in the field of computer vision, the Structure from Motion and Patch-based Multi-view Stereo (SfM-PMVS) technology is an effective means for low-input, high-efficiency acquisition of three-dimensional terrain data, and Unmanned Aerial Vehicle(UAV) technology has developed rapidly in recent years. Due to its low cost of use and convenient data acquisition, it is widely used in the field of close-range photogrammetry. Given the technological advantages of computer vision and UAV technology in the field of close-range photogrammetry, for the calculation problems of the pile volume of irregular shape, large-scale or inconvenient measure in the near field, this paper studies that using UAV equipped with a common digital camera obtains the target oblique image and then these images are processed based on the SfM-PMVS. Firstly, feature extraction, feature matching and point cloud matching based on PMVS are done for images. Then, image control points are introduced into bundle adjustment for obtaining the precise coordinates in the ground coordinate system. Finally, the DTM method is used to calculate the volume of the heap after doing point cloud segmentation. Compared with the result calculated by RTK, our method not only meets the requirements of actual production in reliability, but also outperforms the methods of RTK measuring points in terms of efficiency and cost