Exploring Interpretability in Deep Learning-Based Forest Classification - Separating Similar Forest Classes using Sentinel-2 Time Series
Results show that recurrent models can provide competitive classification performance while also revealing the phenological periods and spectral regions that are most relevant for distinguishing closely related forest compositions, and provide additional insight into the spectral-temporal mechanisms underlying tree-spe...
M. Kirsch, Christine Preisach
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