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Remote Sensing Inversion of Vegetation Parameters With IPROSAIL-Net.

, , , and . IEEE Trans. Geosci. Remote. Sens., (2024)

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Integration of multi-resolution data for crop LAI estimation based on continuous wavelet., , , , , , and . IGARSS, page 6665-6668. IEEE, (2012)Remote Sensing Recognition of Paddy Waterlogging Using Change Vector Analysis Model., , , , and . CCTA (2), volume 393 of IFIP Advances in Information and Communication Technology, page 36-43. Springer, (2012)Ensemble Margin Based Semi-Supervised Random Forest for the Classification of Hyperspectral Image with Limited Training Data., , , , , , and . IGARSS, page 971-974. IEEE, (2019)Remote Sensing Inversion of Vegetation Parameters With IPROSAIL-Net., , , and . IEEE Trans. Geosci. Remote. Sens., (2024)Monitoring Barley Growth Condition with Multi-scale Remote Sensing Images., , , , and . Agro-Geoinformatics, page 1-4. IEEE, (2021)Mango Grove Relevant Information Extraction Using GF-2 Satellite Data., , , , , and . Agro-Geoinformatics, page 1-6. IEEE, (2018)Retrieval of Leaf Chlorophyll Content of Paddy Rice with Extracted Foliar Hyperspectral Imagery., , , , , and . Agro-Geoinformatics, page 1-5. IEEE, (2018)Regional-Scale Monitoring of Rice Flood Disaster Based on Multi-Temporal Remote Sensing Images., , , , , , , and . Agro-Geoinformatics, page 1-4. IEEE, (2018)Monitoring and forecasting for disease and pest in crop based on WebGIS system., , , , , , and . Agro-Geoinformatics, page 1-5. IEEE, (2019)A Biologically Interpretable Two-stage Deep Neural Network (BIT-DNN) For Hyperspectral Imagery Classification., , , , , , and . CoRR, (2020)