Multi-Camera Imaging System for UAV Photogrammetry.

Area of Science:

• Geomatics Engineering
• Photogrammetry
• Remote Sensing

Background:

• Unmanned aerial vehicles (UAV) with digital cameras are increasingly used for environment mapping.
• Oblique imagery from UAVs represents the next advancement in low-altitude photogrammetry.
• Current limitations include reduced ground coverage and increased flight time for multirotor UAVs.

Purpose of the Study:

• To develop and evaluate a multi-camera system for UAVs to enhance photogrammetric mapping.
• To increase the ground coverage area and efficiency of image acquisition during a single UAV flight.
• To improve the imaging geometry for more effective mapping.

Main Methods:

• Designed a multi-camera system to expand the total Field of View (FOV).
• Calibrated cameras to determine interior orientation parameters (IOPs).
• Employed feature image matching algorithms for image alignment and mosaicking.

Main Results:

• The multi-camera system effectively increased ground coverage and data acquisition efficiency.
• Image alignment resulted in a final mosaic with a joint center of projection.
• Experimental results confirmed the reliability and accuracy of the proposed mapping solution.

Conclusions:

• The developed multi-camera system addresses key limitations in UAV photogrammetry.
• This approach enhances the geometric accuracy and efficiency of environment mapping.
• The study validates the effectiveness of the proposed system for reliable and accurate mapping applications.