> For the complete documentation index, see [llms.txt](https://docs-7.phoenixlidar.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs-7.phoenixlidar.com/lidarmill-desktop/workflow-kk/camera-snap/camera-calibration-with-aerial-data-sets.md).

# Camera Calibration with Aerial Data sets

With aerial data sets, **Individual Pose Correction (orientation)** is typically the most important feature to calibrate. All LiDAR systems are calibrated prior to leaving our production facility, and unless the camera has been physically removed from the system it's likely that the factory calibration for mounting rotations and receptor intrinsics is still valid. 

However the orientation of each image is determined by the trajectory, and the trajectory always has a degree of error. **Individual Pose Correction (orientation)** uses features detected in imagery to adjust the orientation of each image, resulting in improved colorization and more accurate camera poses (which can then be exported and used in 3rd party photogrammetry software). 

![Calibrating individual photo orientations. ](/files/TDPK7IZ7oiuqJOiG5C85)

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If colorization errors are apparent after photo pose correction, it may be advisable to calibrate the **sensor orientation**, as factory camera calibrations can be degraded by mishandling, shipping, and normal use over time. 
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