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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
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 ...
Remote sensing applications of HF skywave radar: The Australian experience
HF radar OTH radar radio oceanography
2010/10/12
Australia has conducted research into over-the-horizon radar (OTHR) for almost sixty years. Early programs focused exclusively on military capabilities, such as the detection of aircraft, missiles and...