Zobrazeno 1 - 10
of 225
pro vyhledávání: '"Mao Zhiyuan"'
Publikováno v:
应用气象学报, Vol 33, Iss 5, Pp 604-616 (2022)
Based on radar and raindrop disdrometer observations, the evolution of microphysical features and raindrop size distribution of the precipitation in different peripheral cloud system structures during Typhoon Bebinca(1816) affecting Hainan Island are
Externí odkaz:
https://doaj.org/article/d75d05b1cd1148ddba1a454333efe5b9
Recovering images distorted by atmospheric turbulence is a challenging inverse problem due to the stochastic nature of turbulence. Although numerous turbulence mitigation (TM) algorithms have been proposed, their efficiency and generalization to real
Externí odkaz:
http://arxiv.org/abs/2401.04244
Autor:
Liu, Feng, Ashbaugh, Ryan, Chimitt, Nicholas, Hassan, Najmul, Hassani, Ali, Jaiswal, Ajay, Kim, Minchul, Mao, Zhiyuan, Perry, Christopher, Ren, Zhiyuan, Su, Yiyang, Varghaei, Pegah, Wang, Kai, Zhang, Xingguang, Chan, Stanley, Ross, Arun, Shi, Humphrey, Wang, Zhangyang, Jain, Anil, Liu, Xiaoming
Whole-body biometric recognition is an important area of research due to its vast applications in law enforcement, border security, and surveillance. This paper presents the end-to-end design, development and evaluation of FarSight, an innovative sof
Externí odkaz:
http://arxiv.org/abs/2306.17206
Images taken in a low light condition with the presence of camera shake suffer from motion blur and photon shot noise. While state-of-the-art image restoration networks show promising results, they are largely limited to well-illuminated scenes and t
Externí odkaz:
http://arxiv.org/abs/2303.03472
Numerical simulation of atmospheric turbulence is one of the biggest bottlenecks in developing computational techniques for solving the inverse problem in long-range imaging. The classical split-step method is based upon numerical wave propagation wh
Externí odkaz:
http://arxiv.org/abs/2210.06713
Blind deconvolution is a challenging problem, but in low-light it is even more difficult. Existing algorithms, both classical and deep-learning based, are not designed for this condition. When the photon shot noise is strong, conventional deconvoluti
Externí odkaz:
http://arxiv.org/abs/2208.00451
Image restoration algorithms for atmospheric turbulence are known to be much more challenging to design than traditional ones such as blur or noise because the distortion caused by the turbulence is an entanglement of spatially varying blur, geometri
Externí odkaz:
http://arxiv.org/abs/2207.10040
Restoring images distorted by atmospheric turbulence is a ubiquitous problem in long-range imaging applications. While existing deep-learning-based methods have demonstrated promising results in specific testing conditions, they suffer from three lim
Externí odkaz:
http://arxiv.org/abs/2207.06465
Publikováno v:
In European Journal of Pharmacology 5 December 2024 984
Fast and accurate simulation of imaging through atmospheric turbulence is essential for developing turbulence mitigation algorithms. Recognizing the limitations of previous approaches, we introduce a new concept known as the phase-to-space (P2S) tran
Externí odkaz:
http://arxiv.org/abs/2107.11627