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A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification

License: MIT License

Python 100.00%
deep-learning deep-neural-networks deeplearning self-attention satellite satellite-imagery satellite-data time-series classification pytorch remote-sensing time-series-classification machine-learning

lightweight-temporal-attention-pytorch's Issues

Question about Time axis

Hello Vivien,

Sorry to bother again, I have a quick question about time index:

Is it correct that you need to have precisely the same time sampling to score the model ? For example if the model was trained on 28 dates in 2017, every input tensor must have a sample set of pixels at each of these dates: (28, C, S) ?

Thanks a lot !

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