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Leveraging AI to Estimate Caribou Lichen in UAV Orthomosaics from Ground Photo Datasets
2021
Drones
Relating ground photographs to UAV orthomosaics is a key linkage required for accurate multi-scaled lichen mapping. Conventional methods of multi-scaled lichen mapping, such as random forest models and convolutional neural networks, heavily rely on pixel DN values for classification. However, the limited spectral range of ground photos requires additional characteristics to differentiate lichen from spectrally similar objects, such as bright logs. By applying a neural network to tiles of a UAV
doi:10.3390/drones5030099
fatcat:ewzn4z2tgndgtdxalscutixzhm