Multistep Prediction of Land Cover From Dense Time Series Remote Sensing Images With Temporal Convolutional Networks
Time series prediction (TSP) of land use/land cover (LULC) is an important scientific issue, but forecasting LULC changes at lead times of multiple time steps at fine time scales remains problematic. Especially in the context of current rapid economic and social development, the traditional one-step...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9184116/ |