Unmanned Aerial Vehicle(UAV) Oblique Photogrammetric Image Processing And 3D Modeling

The Unmanned aerial vehicle(UAV) low altitude remote sensing technology has been studied for many years.UAV oblique photogrammetry is a new technology in the field of photogrammetry, and it is a hot research topic in the world.UAV oblique Photogrammetry intensive multi-view image matching algorithm is more complicated than the current digital image matching. Because it contains more data sources, in particular the multi-view image, so the matching process needs to consider matching time, speed, and reliability issues.Another difficulty for UAV oblique photogrammetry is the establishment of oblique 3D model,The traditional 3D model establishment, such as CAD technology and aerial photogrammetry techniques, which use two-dimensional information to establish 3D cube, its texture is to rely on specialized 3D software such as 3DMAX and other artificial paste, its larger workload, production costs are high.The oblique model technique is also based on the special system software for modeling, but it is generated based on the high resolution of the texture image oblique photography 3D model, with real textures. Therefore, to build the 3D models more real, and fast. Oblique photogrammetry technology in large-scale, high-precision, high-definition way comprehensive perception of complex scenes,through efficient data acquisition equipment and professional data generated data processing results intuitively reflect the appearance of the object, attribute, height and other attributes for the real effect and level surveying and mapping accuracy to provide a guarantee. In this paper, the object of study for unmanned aerial vehicle(uav) oblique photogrammetric image processing and 3D modeling research, respectively from the UAV inclined photogrammetry, the amounts of inmetric digital camera calibration, digital image matching and oblique he UAV photogrammetric 3D modeling and other aspects of the study.The main research contents are the following:(1)This paper introduces the classification of UAV, the image processing flow of UAV low altitude remote sensing system, focusing on the key technologies of UAV oblique photogrammetric data processing flow and oblique photogrammetry.(2)Introduces the error classification of digital camera,the main method of digital camera calibration Through the experimental analysis, it is proved that the distortion correction should be conducted before the aerial triangulation.(3)Image matching is one of the key technology of photogrammetry.Feature extraction is presented in this paper,and uniformly use like feature extraction, descriptors were selected to SIFT and BRISK. Selected the two pairs of stereo images of different complexity of image matching, get more satisfactory result of match.(4)The main methods of 3D modeling are introduced, and the specific process of establishing 3D model based on CAD technology and digital photogrammetric technology is described in detail.By the means of Smart3 DCapture ? system, completed the experimental area of 3D modeling. To oblique photography of the 3D model of precision analysis. The experiments were divided into two level of that level is using ground control points and the corresponding model points of comparison analysis. Another is model building angle coordinates and field total station instrument measuring coordinate contrast analysis, accuracy has reached digital mapping requirements.