Lightweight Temporal Self-attention for Classifying Satellite Images Time Series

Author:

Garnot Vivien Sainte Fare,Landrieu Loic

Publisher

Springer International Publishing

Reference16 articles.

1. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);A Bailly,2016

2. Bailly, S., Giordano, S., Landrieu, L., Chehata, N.: Crop-rotation structured classification using multi-source Sentinel images and LPIS for crop type mapping. In: IGARSS (2018)

3. Chung, J., Gulcehre, C., Cho, K., Bengio, Y.: Empirical evaluation of gated recurrent neural networks on sequence modeling. CoRR (2014)

4. Garnot, V.S.F., Landrieu, L., Giordano, S., Chehata, N.: Time-space tradeoff in deep learning models for crop classification on satellite multi-spectral image time series. In: IGARSS (2019)

5. Garnot, V.S.F., Landrieu, L., Giordano, S., Chehata, N.: Satellite image time series classification with pixel-set encoders and temporal self-attention. In: CVPR (2020)

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