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Convolutional Neural Networks Accurately Predict Cover Fractions of Plant Species and Communities in Unmanned Aerial Vehicle Imagery
Abstract Unmanned Aerial Vehicles ( UAV ) greatly extended our possibilities to acquire high resolution remote sensing data for …
Jana Eichel
,
Susan Wiser
,
Larry Burrows
,
Fabian E. Fassnacht
,
Sebastian Schmidtlein
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DOI
An Adaptable Approach for Pixel-Based Compositing and Crop Type/Tree Species Mapping
We present a novel approach for detailed crop type and tree species classification exploiting high spatio-temporal resolution …
Maximilian Lange
,
Daniel Doktor
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