Rigorous Lidar Strip Adjustment with Triangulated Aerial Imagery
نویسندگان
چکیده
This paper proposes a POS aided LiDAR strip adjustment method. Firstly, aero-triangulation of the simultaneously obtained aerial images is conducted with a few photogrammetry-specific ground control points. Secondly, LiDAR intensity images are generated from the reflectance signals of laser foot points, and conjugate points are automatically matched between the LiDAR intensity image and the aero-triangulated aerial image. Control points used in LiDAR strip adjustment are derived from these conjugate points. Finally, LiDAR strip adjustment of real data is conducted with the POS aided LiDAR strip adjustment method proposed in this paper, and comparison experiment using three-dimensional similarity transformation method is also performed. The results indicate that the POS aided LiDAR strip adjustment method can significantly correct the planimetric and vertical errors of LiDAR strips. The planimetric correction accuracy is higher than average point distance while the vertical correction accuracy is comparable to that of the result of aero-triangulation. Moreover, the proposed method is obliviously superior to the traditional three-dimensional similarity transformation method.
منابع مشابه
Large Scale Urban Reconstruction from Remote Sensing Imagery
Automatic large-scale stereo reconstruction of urban areas is increasingly becoming a vital aspect for physical simulations as well as for rapid prototyping large scale 3D city models. In this paper we describe an easily reproducible workflow for obtaining an accurate and textured 3D model of the scene, with overlapping aerial images as input. Starting with the initial camera poses and their re...
متن کاملPrecise Georeferencing in the Absence of Ground Control: a Strip Adjustment Approach
The options available for orientation of satellite imagery in cases requiring optimal metric precision are generally rational functions, where the RPCs are provided by the image supplier, or a rigorous physical model. In either case, it is ground control that facilitates pixel-level georeferencing via a compensation for systematic errors in the sensor metadata. In many remote parts of the world...
متن کاملBuilding Model Reconstruction from Lidar Data and Aerial Photographs
The objective of this research is to reconstruct 3D building models from imagery and LIDAR data. The images used are stereo aerial photographs with known imaging orientation parameters so that 3D ground coordinates can be calculated from conjugate points; and 3D ground objects can be projected to image spaces. To achieve this objective, a method of synthesizing both imagery data and LIDAR data ...
متن کامل3D Building Model Reconstruction from Multi-view Aerial Imagery and Lidar Data
A novel approach by integrating multi-view aerial imagery and lidar data is proposed to reconstruct 3D building models with accurate geometric position and fine details. First, a new algorithm is introduced for determination of principal orientations of a building, thus benefiting to improve the correctness and robustness of boundary segment extraction in aerial imagery. A new dynamic selection...
متن کاملImproving Measurement of Forest Structural Parameters by Co-Registering of High Resolution Aerial Imagery and Low Density LiDAR Data
Forest structural parameters, such as tree height and crown width, are indispensable for evaluating forest biomass or forest volume. LiDAR is a revolutionary technology for measurement of forest structural parameters, however, the accuracy of crown width extraction is not satisfactory when using a low density LiDAR, especially in high canopy cover forest. We used high resolution aerial imagery ...
متن کامل