ReflectDetect: A software tool for AprilTag-guided in-flight radiometric calibration for UAV-mounted 2D snapshot multi-camera imagery

ReflectDetect: A software tool for AprilTag-guided in-flight radiometric calibration for UAV-mounted 2D snapshot multi-camera imagery

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Unmanned Aerial Vehicles (UAVs) equipped with optical sensors have transformed remote sensing in vegetation science by providing high-resolution, on-demand data, enhancing studies in forestry, agriculture, and environmental monitoring.However, accurate radiometric calibration of UAV imagery remains challenging.A common practice, using a single calibration target while holding the vegetable glycerin for sale UAV-mounted camera close above it, is being criticized as the hemisphere is invisibly shaded and the reference images are not collected under flight conditions.ReflectDetect addresses these challenges by allowing in-flight radiometric calibration through automated detection via two different approaches: 1) a geotagging approach leveraging high-precision coordinates of the reflectance targets and 2) AprilTag based detection, a visual fiducial system frequently used in robotics.A brief statistical analysis and example data is provided to reassure the quality of the calibration results.

ReflectDetect is available through a command-line interface att nighthawk hotspot and open-source (https://github.com/reflectdetect/reflectdetect).It now enables users to design new in-flight calibration studies to eventually improve radiometric calibration in applied UAV remote sensing.