Method and Study of Machine Learning Based SAR Image Target Recognition

XU Ya-fan · Microelectronics & Computer · 2004

This paper show an idea of machine learning based target recognition technology for solving SAR problem.It model that world with a Markov network, learning the network parameters from the examples.Bayesian belief propagation allows it to efficiently find a fitting posterior probability for the scene, given the image.It generate a synthetic world of scenes and their corresponding rendered images.

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