Jul 14, 2023 · This study evaluates the use of time series Sentinel-1 VH/VV for LAI imputation, aiming to increase spatial-temporal density.

This study evaluates the use of time series Sentinel-1 VH/VV for LAI imputation, aiming to increase spatial-temporal density. We utilize a bidirectional LSTM ( ...

We propose using a bidirectional LSTM (BiLSTM) network to impute the time series LAI. The half mean squared error of the predicted time series for each time ...

Combining multitemporal optical and SAR data for LAI imputation with BiLSTM network. W Zhao, F Yin, H Ma, Q Wu, J Gomez-Dans, P Lewis. arXiv preprint arXiv: ...

我们利用双向LSTM (BiLSTM) 网络来估算时间序列LAI，并使用每个时间步长的半均方误差作为损失函数。我们仅使用Sentinel-1 VH/VV 和Sentinel-2 生成的LAI 数据对德国南部和 ...

Jun 30, 2024 · “Combining multitemporal optical and sar data for lai imputa- tion with bilstm network,” arXiv preprint arXiv:2307.07434,. 2023. [4] Thomas ...

Multiple-Step Quantized Triplet STDP Implemented with Memristive Synapse · Combining multitemporal optical and SAR data for LAI imputation with BiLSTM network.

Combining multitemporal optical and SAR data for LAI imputation with BiLSTM network · Environmental Science, Agricultural and Food Sciences. ArXiv · 2023.

This paper explores two fast strategies employing a single-image despeckling algorithm, namely SAR2SAR, in a multi-temporal framework.

LAI imputation performance using different methods. 20 points are used... Combining multitemporal optical and SAR data for LAI imputation with BiLSTM network.