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A scatterometer neural network sensor model with input noise
Dan Cornford
, Guillaume Ramage
, Ian T. Nabney
Computer Science Research Group
Research output
:
Preprint or Working paper
›
Technical report
96
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Dive into the research topics of 'A scatterometer neural network sensor model with input noise'. Together they form a unique fingerprint.
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Keyphrases
Neural Network
100%
Wind Vector
100%
Sensor Networks
100%
Input Noise
100%
Scatterometer
100%
Sensor Model
100%
Operational Model
50%
Bayesian Framework
50%
Gradient Information
50%
Radar Backscatter
50%
Forward Model
50%
Monte Carlo (MC) Simulation
50%
Computationally Expensive
50%
Posteriori Probability
50%
Target Space
50%
ERS-1
50%
Nonlinear Optimization
50%
Ocean Surface
50%
Probability Value
50%
Engineering
Scatterometer
100%
Input Noise
100%
Sensor Model
100%
Bayesian Framework
50%
Ocean Surface
50%
Forward Model
50%
Scattered Radiation
50%
Gradient Information
50%
Nonlinear Optimization
50%
Posteriori Probability
50%
Earth and Planetary Sciences
Scatterometer
100%
Ocean Surface
50%
Markov Chain Monte Carlo
50%
Earth Resource Satellite
50%