Results 31 to 40 of about 136,518 (282)

Centroid-Predicted Deep Neural Network in Shack-Hartmann Sensors

IEEE Photonics Journal, 2022
The Shack-Hartmann wavefront sensor produces incorrect wavefront measurements when some sub-spots are weak and missing. In this paper, a method is proposed to predict the centroids of these sub-spots for the Shack-Hartmann wavefront sensor based on the ...
Mengmeng Zhao, Wang Zhao, Shuai Wang, Ping Yang, Kangjian Yang, Haiqi Lin, Lingxi Kong   +6 more
doaj   +1 more source

Cross-Correlation Algorithm Based on Speeded-Up Robust Features Parallel Acceleration for Shack–Hartmann Wavefront Sensing

Photonics
A cross-correlation algorithm to obtain the sub-aperture shifts that occur is a crucial aspect of scene-based SHWS (Shack–Hartmann wavefront sensing).
Linxiong Wen, Xiaohan Mei, Yi Tan, Zhiyun Zhang, Fangfang Chai, Jiayao Wu, Shuai Wang, Ping Yang   +7 more
doaj   +1 more source

Astronomical adaptive optics: a review

PhotoniX
Since the concept of adaptive optics(AO) was proposed in 1953, AO has become an indispensable technology for large aperture ground-based optical telescopes aimed at high resolution observations.
Changhui Rao, Libo Zhong, Youming Guo, Min Li, Lanqiang Zhang, Kai Wei   +5 more
doaj   +1 more source

RMVAD-YOLO: A Robust Multi-View Aircraft Detection Model for Imbalanced and Similar Classes

Remote Sensing
Aircraft detection technology plays a vital role in civilian applications, with significant attention being devoted to research on related algorithms in recent years.
Keda Li, Xiangyue Zheng, Jingxin Bi, Gang Zhang, Yi Cui, Tao Lei   +5 more
doaj   +1 more source

Adaptive Optics Simulations for Siding Spring

, 2012
Using an observational derived model optical turbulence profile (model-OTP) we have investigated the performance of Adaptive Optics (AO) at Siding Spring Observatory (SSO), Australia.
Goodwin, Michael, Jenkins, Charles, Lambert, Andrew   +2 more
core   +1 more source

Real-time turbulence profiling with a pair of laser guide star Shack–Hartmann wavefront sensors for wide-field adaptive optics systems on large to extremely large telescopes [PDF]

, 2010
Real-time turbulence profiling is necessary to tune tomographic wavefront reconstruction algorithms for wide-field adaptive optics (AO) systems on large to extremely large telescopes, and to perform a variety of image post-processing tasks involving ...
Ellerbroek, B. L., Gilles, L.
core   +1 more source

Pediatric Oncology Nursing Competencies in Latin America and the Caribbean: A Scoping Review to Inform Practice, Education, and Research

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Nurses are central to cancer care for children and adolescents, yet no comprehensive synthesis has defined essential core competencies for pediatric oncology nursing (PON) practice internationally, particularly in Latin America and the Caribbean (LAC).
Luís Carlos Lopes‐Júnior, Edmara Bazoni Soares Maia, Soad Fuentes‐Alabí, Courtney E. Sullivan, Monnie Abraham, Mauricio Maza, Liliana Vásquez Ponce, Regina Aparecida Garcia Lima   +7 more
wiley   +1 more source

Preliminary diagnosis of eye health via wavefront parameters based on statistical frequency distributions

European Journal of Medical Research
Background Eye disease is a global health issue, and current diagnostic methods are complex, costly and more suitable for final diagnosis. In order to detect abnormal eyes earlier, it is necessary to develop a simple and low-cost method for preliminary ...
Yaliang Yang, Shen Chen, Xian Yue, Hao Chen, Fan Yang, Qixiang Huang   +5 more
doaj   +1 more source

ARSOD-YOLO: Enhancing Small Target Detection for Remote Sensing Images

Sensors
Remote sensing images play a vital role in domains including environmental monitoring, agriculture, and autonomous driving. However, the detection of targets in remote sensing images remains a challenging task. This study introduces innovative methods to
Yijuan Qiu, Xiangyue Zheng, Xuying Hao, Gang Zhang, Tao Lei, Ping Jiang   +5 more
doaj   +1 more source

The Extreme Learning Machine for the Extraction of Mono-Exponential Decay Time

IEEE Photonics Journal, 2023
The mono-exponential decay has been used to describe various physical phenomena such as cavity ring-down signal, fluorescence decay, etc. In this paper, a neural network method of extreme learning machine (ELM) is adopted to efficiently extract decay ...
Xing He, Zhongzhou Tian, Haiqi Lin, Shuai Wang, Ping Yang   +4 more
doaj   +1 more source