文章基本信息

标题：Alternative Procedures for the Incorporation of LIDAR-Derived Linear and Areal Features for Photogrammetrec Geo-Referencing
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作者：A.F. Habib ; M. Aldelgawy
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B1
页码：219-226
出版社：Copernicus Publications
摘要：The positional and spectral information in LiDAR and photogrammetric data are optimal for providing a complete description of 3D environments. However, the synergistic attributes of the LiDAR and photogrammetric data can be only achieved after their proper registration to a common reference frame. This paper presents alternative methodologies for utilizing LiDAR-derived features for geo-referencing the photogrammetric data relative to the LiDAR reference frame. Since the LiDAR footprints are irregularly distributed, no point-to-point correspondence can be assumed between the photogrammetric and LiDAR data. In other words, it is almost impossible to identify distinct conjugate points in overlapping photogrammetric and LiDAR data. Consequently, LiDAR linear and areal features will be used as control information for the geo-referencing of the photogrammetric data. The paper will present three alternative methodologies to solve this task. The first approach outlines constraints that can be added to current bundle adjustment procedures to incorporate LiDAR linear and areal features. The second approach utilizes existing point-based bundle adjustment procedures for the incorporation of linear and areal features after manipulating the variance-covariance matrices associated with the points representing these features. Finally, the third approach will be based on weight restrictions imposed on the points representing the linear and areal features. After the introduction of the proposed methodologies, the paper will proceed by discussing experimental results using simulated datasets through a root mean square error analysis of a number of check points
关键词：Digital Photogrammetry; Digital Orthophoto; Aerial Photogrammetry; Adjustment; Land Use Mapping; LiDAR; Linear Features; Areal Features