The Research Of Aerial Triangulation Based On The UAV Images Specialization:Photogrammetry And Remote Sensing

With the fast development and the scale expanding of the urbanization construction, so the demand for the current potential and timeliness of access to remote sensing data become higher and higher. Because UAV Aerial Photography have many advantages, for example, flexible and efficient practices, the images obtained with the timeliness and High resolution, so UAV aerial photography has been more widely used in all walks of life. However, the images obtained have such problems, for big Distortion、like pieces of small、the Quantity images、Baseline short、Degree of overlap irregular and Rotation angle is too large. These issues are new problems for the existing digital photogrammetric system facing at home and abroad. For the above problems, How be resolved by the algorithm to deal with. For the algorithm cannot be resolved, is how to resolve at the Actual production. These allow the research of aerial triangulation based on the UAV images have some value in terms of theory and actual production.This will be UAV aerial photography data for the study, expand the article from the theoretical knowledge of aerial triangulation around the characteristics of the UAV image data, high-precision camera calibration, image matching, adjustment and other aspects. Then by the production experiments to illustrate Aerial triangulation in the actual production, this paper has researched mainly on the following work:(1)Because used digital cameras in UAV system is a non-metric camera, the distortion difference has greater impact on the actual number of products. This paper briefly describes the concept as well as the correction mode, and explain the necessity of distortion error correction for non-metric camera. By the Experiments show the distortion correction affect the accuracy of aerial triangulation.(2)Because UAV remote sensing platform is not stable, resulting the image overlay degree irregular, rotation angle large, so gray matching algorithm is difficult to meet the requirements of the UAV image matching. This article describes the basic principles of the image matching, Describes the common and applicable algorithm to the UAV image matching. By Experiment study the matching process and matching effect based on Harris and SIFT matching method.(3)This paper Using Hainan UAV production data, introduces the research and analysis the Application of aerial triangulation in the actual production. This paper introduces the special error point due to matching, and introduces the way of removing the error point. Finally, summarizing the experiment.The above studies show that, distortion correction for the UAV image is essential. The Harris and the SIFT matching algorithm mentioned in the paper can effectively solve the matching of UAV images. But the experiment finds most error points that can’t be removed by bundle adjustment, the paper introduces a way of removing by production program.