Smoothing SAR images with neural networks
John Ellis, M. Warner, Richard G. White · 2002
Describe an approach, to the removal of radar image noise, based on the use of neural networks. A neural network factorisation scheme, based on the use of vector quantisers, allows the authors to produce a more effective solution than that which is possible with a single network. The factorised neural network is currently trained to learn the smoothing behaviour of a noise removal algorithm. The success of the approach demonstrates the potential for this technique and opens the way for its use in learning a true noise smoothing mapping based on the comparison of single and multi look radar data.>