Increasing number of images calibrated during AT

Hello,

We have completed a flight with both LiDAR and RGB images. The flight was flown at 50% side lap at 70m AGL with a 20 MPEG camera. The area covered ranges from farmland, to densely vegetated woodlands. As suspected, some of the images have not calibrated as they are only capturing areas of woodland. We have tried a number of different AT settings to try and improve the number of calibrated images. As the image positions are known to be accurate and contain rotation information, the most successful settings are :

A. Positioning/georeferencing:

- Adjustment constraints: photo positioning metadata - Final rigid registration: none B. Main settings: - Key point density: High - Tags or QR Codes extraction: Disabled - Pair selection mode: Exhaustive - Color correction: machine learning - Splats: Disabled C. Estimation policies: - Tie points: Compute - Position: Compute - Rotation: Compute - Pre-calibration stage: Disabled - Focal length: Adjust - Principal point: Adjust - Radial distortion: Adjust - Tangential distortion: Adjust - Aspect ratio: Keep - Skew: Keep

We have also added additional data that all images are vertical views only and the minimum and max viewing distances are 20 & 100m respectively. Unfortunately this still means sections are uncalibrated. We have had more success in other photogrammetry packages (Pix4Dmatic) which calibrates more images. Do you have any other advice for other settings to use, possibly presents which may improve our result?

Regards, Jason.