Self-Calibration of Non-metric Medium Format Digital Camera in Aerial Photogrammetry with LiDAR

Current development of CCD sensor or GPS/IMU system has offered a great contribution to progress digital aerial photogrammetry. Moreover, LiDAR system has made it possible to acquire real-time point cloud data. In these circumstances, combination of non-metric medium format digital camera and LiDAR system has been receiving more attention as make it possible to realize an efficient aerial digital photogrammetry.However, photogrammetric data and point cloud data contain some errors. In order to reduce these errors, it is reasonable to use distance data instead of 3D data since distance data is direct value in LiDAR system. Furthermore, utilization of triplet images makes it possible to use geometric data based on trifocal tensor besides photogrammetric data and distance data.This paper describes simultaneous adjustment for an efficient self-calibration in aerial digital photogrammetry using geometric data based on trifocal tensor besides photogrammetric data and distance data from LiDAR.

[1]  Stuart Robson,et al.  PRINCIPAL POINT BEHAVIOUR AND CALIBRATION PARAMETER MODELS FOR KODAK DCS CAMERAS , 1998 .

[2]  A. F. Habib,et al.  INTEGRATION OF LASER AND PHOTOGRAMMETRIC DATA FOR CALIBRATION PURPOSES , 2004 .

[3]  Richard Hartley.  Camera Calibration Using Line Correspondences , 2001 .

[4]  Clive S. Fraser,et al.  Digital camera self-calibration , 1997 .

[5]  C. S. Fraser.  Multiple exposures in non-metric camera applications , 1987 .

[6]  A. Gruen,et al.  Sensor Modeling for Aerial Triangulation with Three-Line-Scanner (TLS) Imagery , 2003 .

[7]  Ramon Alamús,et al.  Studies on DMC geometry , 2006 .

[8]  A. G. Wiley,et al.  Geometric calibration of zoom lenses for computer vision metrology , 1995 .

[9]  H.A. Beyer,et al.  Accurate calibration of CCD-cameras , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[10]  Kazuya Nakano,et al.  Camera Calibration for Image Based Integrated Measurement System using Multiple Cameras of Different Resolutions , 2010 .

[11]  Emmanuel P. Baltsavias,et al.  A comparison between photogrammetry and laser scanning , 1999 .

[12]  N. Yastiklia,et al.  MULTI SENSOR AIRBORNE SYSTEMS : THE POTENTIAL FOR IN SITU SENSOR CALIBRATION , 2008 .

[13]  Kelly Elder,et al.  Fractal Distribution of Snow Depth from Lidar Data , 2006 .

[14]  H. Chikatsu,et al.  Relationship Between Interior Orientation Parameters of Consumer Grade Digital Cameras and Measurement Accuracy , 2008 .