End-to-end learned early classification of time series for in-season crop type mapping (2019-01-30T00:00:00.000000Z)

TL;DR

An End-to-End Learned Early Classification of Time Series (ELECTS) model that estimates a classification score and a probability of whether sufficient data has been observed to come to an early and still accurate decision and reduces the quantity of data massively to be downloaded, stored, and processed.

Authors

D. Tuia

6 papers

S. Lefèvre

6 papers

N. Courty

4 papers

Marc Rußwurm

5 papers

R. Emonet

1 papers

R. Tavenard

3 papers

TL;DR

Authors

References34 items

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