Photogrammetric Model Orientation Using Lidar Dataset

Today the LIDAR dataset is a powerful alternative to be applied in the optimization of photogrammetric mapping techniques. The complementary nature of LIDAR and photogrammetry allows for the optimal performance of many applications to extract 3D spatial information. For example, photogrammetry image permits accurate borders building extraction. In addition, LIDAR provides a number of accurate 3D points that describe some information about physical building surfaces. These properties show the possibility of combining data from both sensors to arrive at a more robust and complete reconstruction of 3D objects in many applications such as monoplotting, orthophoto generation, surface reconstruction, etc. Photogrammetric procedures need the exterior parameters of images (EOP) for extracting mapping information. Despite of the availability of GPS/INS systems, which greatly assist in direct geo-referencing of the acquired imagery, the majority of commercial available photogrammetric system needs control information to perform photogrammetric mapping techniques. Regarding the accuracy improvement of LIDAR systems in the recent years, LIDAR data is considered a viable supply of photogrammetric control. This paper presents a methodology for using the centroids of building roof as control points in photogrammetric model orientation. The centroid is equivalent to a single control point with 3D coordinates allowing its use in traditional photogrammetric systems. In the experiments performed, the obtained results confirmed the feasibility of the proposed methodology to be applied in geo-referencing of photogrammetric images using LIDAR dataset. * Corresponding author.