Sensors 2012, 12(7), 8895-8911; doi:10.3390/s120708895

An ANN-Based Smart Tomographic Reconstructor in a Dynamic Environment

1,* email, 2email, 1email and 3email
Received: 7 June 2012; in revised form: 18 June 2012 / Accepted: 26 June 2012 / Published: 27 June 2012
(This article belongs to the Section Physical Sensors)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: In astronomy, the light emitted by an object travels through the vacuum of space and then the turbulent atmosphere before arriving at a ground based telescope. By passing through the atmosphere a series of turbulent layers modify the light’s wave-front in such a way that Adaptive Optics reconstruction techniques are needed to improve the image quality. A novel reconstruction technique based in Artificial Neural Networks (ANN) is proposed. The network is designed to use the local tilts of the wave-front measured by a Shack Hartmann Wave-front Sensor (SHWFS) as inputs and estimate the turbulence in terms of Zernike coefficients. The ANN used is a Multi-Layer Perceptron (MLP) trained with simulated data with one turbulent layer changing in altitude. The reconstructor was tested using three different atmospheric profiles and compared with two existing reconstruction techniques: Least Squares type Matrix Vector Multiplication (LS) and Learn and Apply (L + A).
Keywords: MOAO; adaptive; optics; neural; networks; reconstructor; Zernike
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MDPI and ACS Style

Juez, F.J.C.; Lasheras, F.S.; Roqueñí, N.; Osborn, J. An ANN-Based Smart Tomographic Reconstructor in a Dynamic Environment. Sensors 2012, 12, 8895-8911.

AMA Style

Juez FJC, Lasheras FS, Roqueñí N, Osborn J. An ANN-Based Smart Tomographic Reconstructor in a Dynamic Environment. Sensors. 2012; 12(7):8895-8911.

Chicago/Turabian Style

Juez, Francisco J. de Cos; Lasheras, Fernando Sánchez; Roqueñí, Nieves; Osborn, James. 2012. "An ANN-Based Smart Tomographic Reconstructor in a Dynamic Environment." Sensors 12, no. 7: 8895-8911.

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