Convolutional Neural Networks

AngleCam : Predicting the Temporal Variation of Leaf Angle Distributions from Image Series with Deep Learning
Abstract Vertical leaf angles and their variation through time are directly related to several ecophysiological processes and …
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Mapping Land-Use Intensity of Grasslands in Germany with Machine Learning and Sentinel-2 Time Series
Information on grassland land-use intensity (LUI) is crucial for understanding trends and dynamics in biodiversity, ecosystem …
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Mapping Land-Use Intensity of Grasslands in Germany with Machine Learning and Sentinel-2 Time Series
Spatially Autocorrelated Training and Validation Samples Inflate Performance Assessment of Convolutional Neural Networks
Deep learning and particularly Convolutional Neural Networks (CNN) in concert with remote sensing are becoming standard analytical …
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Mapping Forest Tree Species in High Resolution UAV-based RGB-imagery by Means of Convolutional Neural Networks
The use of unmanned aerial vehicles (UAVs) in vegetation remote sensing allows a time-flexible and cost-effective acquisition of very …
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Mapping Forest Tree Species in High Resolution UAV-based RGB-imagery by Means of Convolutional Neural Networks