Image-based wavefront sensing for astronomy using neural networks

T Andersen, M Owner-Petersen… - Journal of Astronomical …, 2020 - spiedigitallibrary.org
Motivated by the potential of nondiffraction limited, real-time computational image
sharpening with neural networks in astronomical telescopes, we studied wavefront sensing …

A method used to improve the dynamic range of Shack–Hartmann wavefront sensor in presence of large aberration

W Yang, J Wang, B Wang - Sensors, 2022 - mdpi.com
With the successful application of the Shack–Hartmann wavefront sensor in measuring
aberrations of the human eye, researchers found that, when the aberration is large, the local …

Experience with artificial neural networks applied in multi-object adaptive optics

SLS Gómez, C González-Gutiérrez… - Publications of the …, 2019 - iopscience.iop.org
The use of artificial Intelligence techniques has become widespread in many fields of
science, due to their ability to learn from real data and adjust to complex models with ease …

Wavefront Recovery for Multiple Sun Regions in Solar SCAO Scenarios with Deep Learning Techniques

SL Suárez Gómez, F García Riesgo… - Mathematics, 2023 - mdpi.com
The main objective of an Adaptive Optics (AO) system is to correct the aberrations produced
in the received wavefronts, caused by atmospheric turbulence. From some measures taken …

[PDF][PDF] 基于深度学习的自适应光学波前传感技术研究综述

李自强, 李新阳, 高泽宇, 贾启旺 - 强激光与粒子束, 2021 - researching.cn
波前传感是自适应光学系统的重要组成部分, 在地基大口径望远镜, 激光大气传输, 无线光通信,
激光驱动核聚变等领域发挥了关键作用, 同时也常应用于自由曲面的光学测量中. 与此同时 …

Review of wavefront sensing technology in adaptive optics based on deep learning

L Ziqiang, L Xinyang, G Zeyu, J Qiwang - 强激光与粒子束, 2021 - hplpb.com.cn
Wavefront sensing is an important part of adaptive optics system, which plays a key role in
the fields of ground-based telescopes, laser transmission in atmosphere, wireless optical …

Fuzzy control algorithm for adaptive optical systems

X Ke, D Zhang - Applied optics, 2019 - opg.optica.org
In this study, the direct wavefront gradient algorithm is used to calculate the control voltage
of the deflection mirror. Considering the control voltage as the input of the fuzzy controller …

Enhancing the proficiency of artificial neural network on prediction with GPU

SP Panda - … Conference on Machine Learning, Big Data …, 2019 - ieeexplore.ieee.org
Prior efforts in research exhibit that Artificial Neural Network (ANN) proves out to give better
and satisfactory results for prediction. This would be helpful for accomplishing decision …

Multiple Morphological Constraints‐Based Complex Gland Segmentation in Colorectal Cancer Pathology Image Analysis

K Zhang, JH Fu, L Hua, P Zhang, Y Shao, S Xu… - …, 2020 - Wiley Online Library
Histological assessment of glands is one of the major concerns in colon cancer grading.
Considering that poorly differentiated colorectal glands cannot be accurately segmented, we …

Real‐time tomographic reconstructor based on convolutional neural networks for solar observation

F Sanchez Lasheras, C Ordóñez… - … Methods in the …, 2020 - Wiley Online Library
Solar observation is the branch of astronomy devoted to the study of the Sun. When the light
wavefront that comes from the Sun penetrates the atmosphere, it suffers some distortions …