Phase unwrapping by a random artificial neural network

Zhengdong Wang; Dapeng Yan; Feng Liu; Anzhi He

doi:10.1117/12.279744

21 November 1997 Phase unwrapping by a random artificial neural network

Zhengdong Wang, Dapeng Yan, Feng Liu, Anzhi He

Proceedings Volume 3172, Optical Technology in Fluid, Thermal, and Combustion Flow III; (1997) https://doi.org/10.1117/12.279744
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

Abstract

There are may phase unwrapping algorithms have been developed in the recent years. Some of them work well in no or less noisy situations. But when encountering noisy data which is the most occurring situation these algorithms may exhibit insufficiency and diversity and usually cause the result unusable. Artificial neural networks have some features in tackling these problems. Especially random artificial neural network is more powerful and robust in solving combinatorial optimization problems. A random artificial neural network model has been used in demodulation of 'wrapped phase' in one and two dimensions of noisy interference pattern.

Citation Download Citation

Zhengdong Wang, Dapeng Yan, Feng Liu, and Anzhi He "Phase unwrapping by a random artificial neural network", Proc. SPIE 3172, Optical Technology in Fluid, Thermal, and Combustion Flow III, (21 November 1997); https://doi.org/10.1117/12.279744

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