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Improving crop type mapping by integrating LSTM with temporal random masking and pixel-set spatial information 2024-12-04 AbstractAccurate and timely crop type classification is essential for effective agricultural monitoring, cropland management, and yield estimation. Unfortunately, the complicated temporal patterns of different crops, combined with gaps and noise in satellite observations caused by clouds and rain, restrict crop classification accuracy, particularly during early seasons with limited temporal information....
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