## 1 Introduction
Furthermore, digital photogrammetry technology can quickly collect data and obtain instantaneous deformation information of monitored objects, so is quite suitable for dynamic deformation monitoring of the measured objects. [PERSON] et al. [18] utilized a CCD (Charge-Coupled Device) camera and LVDT (Linear Variable Differential Transformer) displacement measurement sensor to monitor the deformation of concrete beams when imposing vertical loads on them. The research results indicate that the measurement accuracy of the digital cameras attained a sub-millimeter level. [PERSON] et al. [19] adopted the method based on edge recognition to take multiple photos of the side of a bridge at different times, combined the images with high-precision algorithms, and processed the image edges to obtain the continuous edge of the bridge; subsequently, they solved the bridge deformation. [PERSON] et al. [20] measured the instantaneous deformation values of structures with digital cameras as monitoring equipment, and they noted that digital cameras exhibit immense potential for structural deformation measurement. [PERSON] et al. [21] combined digital cameras with image processing technology to propose novel sine-wave curve fitting based on the least-square method, which enhanced measurement accuracy and frequency. [PERSON] et al. [22] explored the feasibility of smart phones in the deformation monitoring field; using two smart phones, namely LAMIa535 and SLAmia 950 XL, vertical displacement was measured. The experiment indicates that smart phones can meet the requirements of digital close-range photogrammetry in regard to precision, cost, and flexibility. [PERSON] [23] utilized a non-measuring digital camera for the linear monitoring of a bridge, and they utilized direct linear transformation to check the non-measuringdigital camera; thus, data acquisition, extraction, processing, and analysis were achieved. [PERSON] [24] utilized a non-measuring digital camera to collect data, and they utilized the P-H algorithm to solve coordinates. After lens distortion correction and focal length error correction of the non-measuring digital camera, a deformation monitoring experiment of the structure they were analyzing was performed in the laboratory. The result is basically consistent with that of the deflection meter. Beginning from basic close-range photogrammetry theory, [PERSON] [25] conducted pier-lean and deck-displacement observation of a bridge by establishing a 3D model method. [PERSON] [26] expanded the principle pertaining to the time baseline parallax method by taking deformation pictures of bridges with a non-measuring digital camera. Two kinds of bridge deformation measurement methods based on edge recognition and image correlation matching were established. [PERSON] et al. [27] proposed the image matching time baseline parallax method to overcome the following defect: the digital photography technique based on monocular vision cannot monitor 3D bridge deformation. Their deformation diagram intuitively indicates the bridge structure trend, which addresses the deficiency of traditional measurement techniques in the long-term real-time monitoring of overall bridge deformation. Aiming at addressing the deficiency of traditional deformation monitoring, a non-measuring digital camera was utilized; thus, instantaneous real-time bridge deformation monitoring was conducted. The experiment [28] indicates that deformation monitoring of a bridge structure using digital close-range photogrammetry is easy, and that the instantaneous deformation information of multiple observation points can be obtained simultaneously, with the result accuracy attaining 3/1000. Therefore, digital photography technology and GB-RAR (ground-based real aperture radar) technology are utilized to jointly monitor the dynamic deformation of bridges and to deeply analyze the deformation characteristics of bridges under the action of vehicle dynamic load; thus, a data reference for the safety evaluation and reinforcement design of bridges is obtained.