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Wind-concerned Sea Ice Detection and Concentration Retrieval from GNSS-R Data Using a Modified Convolutional Neural Network
Wei Ban;Linhu Zhang;Xiaohong Zhang;Han Nie;Xiaoli Chen;Xuejing Chen
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Year: 2025 | Early Access Article |
Spaceborne global navigation satellite system reflectometry (GNSS-R) method has been increasingly utilized for sea ice parameters retrieval. The coupling effects between wind speed and retrieval parameters was not considered in both traditional threshold-based methods and neural network models. To address this, a wind-concerned convolutional neural network (WCNN) model for sea ice detection and co...Show More
Robust Stability of Control Systems with Impulse Time Windows
2024 IEEE 7th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)
Year: 2024 | Conference Paper |
Since the impulsive control systems may be affected by the uncertainty parameters, the impulsive control systems model with uncertainty parameters is studied. Meanwhile, considering that too large or too small impulsive intensity coefficient may make the control system uncontrollable, we designed a buffer system to adjust the impulsive intensity coefficient. Some results about the uncertain impuls...Show More
Image Light Enhancement Model Based on Illuminance- Diffusion
2024 IEEE 7th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)
Year: 2024 | Conference Paper |
Low-light image enhancement is a critical task that is essential for improving image quality and performance. In this paper, we rethink the low-light image enhancement task and propose a physically interpretable decomposition diffusion model for low-light image enhancement called Illuminance-Diffusion. Based on retinex theory as well as convolutional neural networks, we have designed an innovative...Show More
Spectral-Domain Phase Microscopy for Thickness Encoded Suspension Array
Cuixia Guo;Zhiyuan Shen;Yanyan Suo;Jian-Ping Wu;Xuesi Zhou;Tian Guan;Xuejing Chen;Suyi Zhong;Yanhong Ji;Yonghong He;Fangyi Chen
A system containing spectral-domain phase microscopy and fluorescence microscopy has been developed to decode and detect thickness-encoded suspension arrays. The spectral-domain phase imaging path is used for decoding the thickness of the micro glass pieces while the fluorescence imaging path is used for quantifying the targeted analytes. The spectral-domain phase microscopy uses a spectral domain...Show More
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