From Event: SPIE Commercial + Scientific Sensing and Imaging, 2017
The rapid advancement and availability of small unmanned aircraft systems (sUAS) has led to many novel exploitation tasks utilizing that utilize this unique aerial imagery data. Collection of this unique data requires novel flight planning to accomplish the task at hand. This work describes novel flight planning to better support structure-from-motion missions to minimize occlusions, autonomous and periodic overflight of reflectance calibration panels to permit more efficient and accurate data collection under varying illumination conditions, and the collection of imagery data to study optical properties such as the bidirectional reflectance distribution function without disturbing the target in sensitive or remote areas of interest. These novel mission planning algorithms will provide scientists with additional tools to meet their future data collection needs.
Paul Sponagle and Carl Salvaggio, "Automatic mission planning algorithms for aerial collection of imaging-specific tasks
," Proc. SPIE 10218, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping II, 1021807 (Presented at SPIE Commercial + Scientific Sensing and Imaging: April 10, 2017; Published: 16 May 2017); https://doi.org/10.1117/12.2262817.
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