In this paper, we proposed a method is used to estimate an aircraft's own position in flight depending on acquisition and tracking an enlarged landmark in an image sequence. Acquisition operation is based on matching 2D template with a 2D scene of the landmark area generated by the aircraft seeker. After the landmark location is acquired, tracking the center point of the landmark maintains the slant range estimate between the sensor and the landmark which is calculated depending on data of three successive positions from the measured IMU/ GPS information. Then, we obtain the absolute position of the aircraft in the world coordinate system (WCS) with the transformation from the landmark coordinate system (LCS) into the WCS. Finally, bias errors of the Inertial Navigation are corrected for navigation of the aircraft.
[1]
Abhijit Mahalanobis,et al.
High-valued target recognition using correlation filters
,
1996,
Defense, Security, and Sensing.
[2]
Klaus Jäger,et al.
3D scene reconstruction from IR image sequences for image-based navigation update and target detection of an autonomous airborne system
,
2008,
SPIE Defense + Commercial Sensing.
[3]
Klaus Jaeger,et al.
Image-based 3D scene analysis for navigation of autonomous airborne systems
,
2001,
SPIE Optics East.
[4]
Teresa A. Kipp,et al.
Relational template-matching algorithm for FLIR automatic target recognition
,
1993,
Defense, Security, and Sensing.