Scanning Photogrammetry for Measuring Large Targets in Close Range

Remote Sensing

Shan Huang²  Zuxun Zhang²  Tao Ke¹  Min Tang²  Xuan Xu²  Diego Gonzalez-Aguilera²  Fabio Remondino²  Henrique Lorenzo² 

[1] School of Remote Sensing and Information Engineering, Wuhan University, No.129 Luoyu Road, Wuhan 430079, China;

关键词: scanning photography;    close-range photogrammetry;    modified triangulation;    long focal lens;   

DOI  :  10.3390/rs70810042

来源: mdpi

【 摘 要 】

In close-range photogrammetry, images are difficult to acquire and organize primarily because of the limited field of view (FOV) of digital cameras when long focal lenses are used to measure large targets. To overcome this problem, we apply a scanning photography method that acquires images by rotating the camera in both horizontal and vertical directions at one station. This approach not only enlarges the FOV of each station but also ensures that all stations are distributed in order without coverage gap. We also conduct a modified triangulation according to the traits of the data overlapping among images from the same station to avoid matching all images with one another. This algorithm synthesizes the images acquired from the same station into synthetic images, which are then used to generate a free network. Consequently, we solve the exterior orientation elements of each original camera image in the free network and perform image matching among original images to obtain tie points. Finally, all original images are combined in self-calibration bundle adjustment with control points. The feasibility and precision of the proposed method are validated by testing it on two fields using 300 and 600 mm lenses. The results confirm that even with a small amount of control points, the developed scanning photogrammetry can steadily achieve millimeter scale accuracy at distances ranging from 40 m to 250 m.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.