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SOIL MOISTURE RETRIEVAL USING CONVOLUTIONAL NEURAL NETWORKS: APPLICATION TO PASSIVE MICROWAVE REMOTE SENSING
Soil Moisture Retrieval Microwave Remote Sensing Deep Learning Convolutional Neural networks GPU
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2018/5/14
A empirical model is established to analyse the daily retrieval of soil moisture from passive microwave remote sensing using convolutional neural networks (CNN). Soil moisture plays an important role ...
Backpropagation Neural Network for Soil Moisture Retrieval Using NAFE'05 Data: a Comparison of Different Training Algorithms
Neural Network Backpropagation Soil Moisture Airborne Algorithms Microwave
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2015/12/18
The backpropagation artificial neural network (ANN) is a well-known and widely applied mathematical model for remote sensing applications for pattern recognition, approximation and mapping of non-line...
Development of a Physically-based Soil Moisture Retrieval Algorithm for Spaceborne Passive Microwave Radiometers and its Application to AMSR-E
Passive Microwave Remote Sensin AMSR-E Soil Moisture Retrieval Radiative Transfer Model Lookup Table
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2010/11/23
Many microwave radiometer algorithms for the retrieval of soil moisture tend to overestimate moisture in very dry cases, partly due to volume scattering effects. This study reports the development of ...