Bundle block adjustment of airborne three-line array imagery based on rotation angles.

Area of Science:

• Geomatics Engineering
• Photogrammetry
• Remote Sensing Technology

Background:

• Airborne three-line array sensors are advancing rapidly, driving research in data processing and high-precision geo-referencing.
• Direct geo-referencing using integrated positioning and orientation systems (POS) suffers from systematic errors, limiting accuracy for surveying and mapping.
• Ground control points are currently needed to refine exterior orientation parameters (EOPs).

Purpose of the Study:

• To develop and validate novel bundle block adjustment models for airborne remote sensing.
• To address and compensate for systematic errors inherent in integrated POS data.
• To enhance the precision of geo-referencing without relying heavily on ground control points.

Main Methods:

• Proposed bundle block adjustment models incorporating systematic error compensation.
• Utilized three rotation angles directly to model POS systematic errors, differing from quaternion-based methods.
• Considered the principles of image sensors and characteristics of integrated POS.

Main Results:

• Demonstrated effective modeling and elimination of systematic errors in POS observations.
• Achieved very good experimental results using real datasets.
• Validated the correctness and effectiveness of the proposed adjustment models.

Conclusions:

• The developed bundle adjustment models successfully compensate for systematic errors in airborne POS data.
• The proposed method offers a more accurate and efficient approach to geo-referencing for airborne remote sensing applications.
• Direct use of rotation angles provides a robust alternative for modeling EOP systematic errors.