Artificial intelligence in interferometric synthetic aperture radar phase unwrapping: A review

L Zhou, H Yu, Y Lan - IEEE Geoscience and Remote Sensing …, 2021 - ieeexplore.ieee.org
methods through an in-depth investigation. MB PU METHODS USING EARLY MACHINE
LEARNING … of each method, using theoretical analysis and experimental results. Currently, the …

Artificial intelligence in meta-optics

MK Chen, X Liu, Y Sun, DP Tsai - Chemical Reviews, 2022 - ACS Publications
study has been how to let machines mimic human intelligence, which is broadly defined as
artificial intelligence … -optics, data analysis for a metasurface-based system, and an intelligent

Multiplexing the aperture of a metasurface: inverse design via deep-learning-forward genetic algorithm

R Zhu, T Qiu, J Wang, S Sui, Y Li, M Feng… - Journal of Physics D …, 2020 - iopscience.iop.org
research, an artificial neural network-forward design can achieve an inverse design. In this
paper, we propose an inverse design method of multiplexing metasurface aperturesanalysis. …

A new method for determining the hydraulic aperture of rough rock fractures using the support vector regression

Z Sun, L Wang, JQ Zhou, C Wang - Engineering Geology, 2020 - Elsevier
… Various ML algorithms, such as the artificial neural network (ANN)… for comparative analysis
to validate the performance of this model. … This study reported a new method for predicting the …

Multiobjective optimization of the dynamic aperture using surrogate models based on artificial neural networks

M Kranjčević, B Riemann, A Adelmann, A Streun - … Review Accelerators and …, 2021 - APS
… In this work an artificial neural network (ANN) surrogate model is used for the optimization,
in combination with a MOGA. The approach is similar to the one from [18]. In particular, the …

Explainable, physics-aware, trustworthy artificial intelligence: A paradigm shift for synthetic aperture radar

M Datcu, Z Huang, A Anghel, J Zhao… - IEEE Geoscience and …, 2023 - ieeexplore.ieee.org
… Her research interests include artificial intelligence for synthetic aperture radar and PolSAR
image interpretation, pattern recognition, and machine learning. From 2018 to 2019, she …

Coded-aperture computational millimeter-wave image classifier using convolutional neural network

R Sharma, R Hussung, A Keil, F Friederich… - IEEE …, 2021 - ieeexplore.ieee.org
… , quantitative analysis of the robustness of CI based radars to system noise and its effect to
the … In this section, a new study is carried out to observe the effect of system SNR level, ie, with …

[HTML][HTML] Resolution enhancement of digital holographic microscopy via synthetic aperture: a review

P Gao, C Yuan - Light: Advanced Manufacturing, 2022 - light-am.com
… -resolution, and artificial intelligence (AI) approaches. They also … . In light of the above
analysis, it is our opinion that deep … increasing number of investigations concerning the physics …

Artificial intelligence-enabled quantitative phase imaging methods for life sciences

J Park, B Bai, DH Ryu, T Liu, C Lee, Y Luo, MJ Lee… - … Methods, 2023 - nature.com
… In particular, we discuss artificial intelligence-based analysis … and how this intersection has
advanced biomedical research… due to the limited numerical aperture of the objective lens. …

Artificial intelligence for remote sensing data analysis: A review of challenges and opportunities

L Zhang, L Zhang - IEEE Geoscience and Remote Sensing …, 2022 - ieeexplore.ieee.org
… In particular, studies in the past five years are investigated, and the … data analysis. In the
next sections, we discuss the recent progress of computational intelligence in RS image analysis