MSMTRIU-Net: Deep Learning-Based Method for Identifying Rice Cultivation Areas Using Multi-Source and Multi-Temporal Remote Sensing Images

Identifying rice cultivation areas in a timely and accurate manner holds great significance in comprehending the overall distribution pattern of rice and formulating agricultural policies. The remote sensing observation technique provides a convenient means to monitor the distribution of rice cultiv...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2024-10, Vol.24 (21), p.6915
Main Authors: Wang, Manlin, Ma, Xiaoshuang, Zheng, Taotao, Su, Ziqi
Format: Article
Language:English
Subjects:
Agricultural production
agriculture remote sensing
Artificial intelligence
Comparative analysis
Crops
Datasets
Deep learning
feature fusion
Food supply
Image segmentation
Machine learning
Methods
multi-source remote sensing
Neural networks
Remote sensing
Rice
rice monitoring
Technology application
Vegetation
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