中国科学院机构知识库网格系统: 检索

Analysis and Correction of the Rolling Shutter Effect for a Star Tracker Based on Particle Swarm Optimization 期刊论文 OAI收割
Remote Sensing, 2022, 卷号: 14, 期号: 22, 页码: 16
作者: Z. Q. Fu; X. B. Yang; M. Wu; A. D. Yan; J. M. Du

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收藏 | 浏览/下载：4/0 | 提交时间：2023/06/14

Position misalignment correction method for macroscopic Fourier ptychography based on particle swarm optimization 期刊论文 OAI收割
Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2022, 卷号: 30, 期号: 23, 页码: 2975-2986
作者: C. He; Y. Zhu and B. Wang

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收藏 | 浏览/下载：6/0 | 提交时间：2023/06/14

Optimal Compensation of MEMS Gyroscope Noise Kalman Filter Based on Conv-DAE and MultiTCN-Attention Model in Static Base Environment 期刊论文 OAI收割
Sensors, 2022, 卷号: 22, 期号: 19, 页码: 22
作者: Z. M. Huo; F. C. Wang; H. H. Shen; X. Sun; J. Z. Zhang

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收藏 | 浏览/下载：10/0 | 提交时间：2023/06/14

An Adaptive Two-Scale Image Fusion of visible and Infrared Images 期刊论文 OAI收割
Ieee Access, 2019, 卷号: 7, 页码: 56341-56352
作者: X.Y.Han; T.Lv; X.Y.Song; T.Nie; H.D.Liang

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收藏 | 浏览/下载：11/0 | 提交时间：2020/08/24

Fusion global-local-topology particle swarm optimization (FGLT-PSO),guided filter,image fusion

Flocking Control of Fixed-Wing UAVs With Cooperative Obstacle Avoidance Capability 期刊论文 OAI收割
Ieee Access, 2019, 卷号: 7, 页码: 17798-17808
作者: W.W.Zhao; H.R.Chu; M.Y.Zhang; T.T.Sun; L.H.Guo

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收藏 | 浏览/下载：23/0 | 提交时间：2020/08/24

Fixed-wing UAV swarm,multi-agent system,flocking control,cooperative,obstacle avoidance,consensus,local information communication,multiagent systems,behaviors,algorithm,consensus,Computer Science,Engineering,Telecommunications

Recognition of Fusarium Head Blight Wheat Grain Based on Hyperspectral Data Processing Algorithm 期刊论文 OAI收割
Spectroscopy and Spectral Analysis, 2019, 卷号: 39, 期号: 11, 页码: 3540-3546
作者: S.Liu; X.Tan; C.Y.Liu; C.L.Zhu; W.H.Li

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收藏 | 浏览/下载：31/0 | 提交时间：2020/08/24

Hyperspectral,Wheat,Fusarium head blight,Principal component,analysis,Successive projections algorithm,Support vector machine,Spectroscopy

Effects of manganese doping on the structure evolution of small-sized boron clusters 期刊论文 OAI收割
Journal of Physics-Condensed Matter, 2017, 卷号: 29, 期号: 26
作者: Zhao, L. Q.; X. Qu; Y. C. Wang; J. Lv; L. J. Zhang

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收藏 | 浏览/下载：14/0 | 提交时间：2018/06/13

Optimization selection of test points on complex equipment for discrete firefly algorithm 期刊论文 OAI收割
Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2017, 卷号: 25, 期号: 5
作者: Wang, H.-Q.; W.-G. Wang; L.-H. Guo; T.-X. Liu; R.-Q. Jiang and H.-J. Yu

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收藏 | 浏览/下载：16/0 | 提交时间：2018/06/13

Design and performance test of a two-axis fast steering mirror driven by piezoelectric actuators 期刊论文 OAI收割
Optoelectronics Letters, 2016, 卷号: 12, 期号: 5
作者: Fang, C.; J. Guo; G.-Q. Yang; Z.-H. Jiang; X.-H. Xu and T.-F. Wang

收藏 | 浏览/下载：13/0 | 提交时间：2017/09/11

The registration of aerial infrared and visible images (EI CONFERENCE) 会议论文 OAI收割
2010 International Conference on Educational and Information Technology, ICEIT 2010, September 17, 2010 - September 19, 2010, Chongqing, China
作者: Liu J.; Wang Y.; Wang Y.; Wang Y.; Wang Y.

收藏 | 浏览/下载：14/0 | 提交时间：2013/03/25

In order to solve the registration problem of different source image existed on aerial image fusion algorithms based on Particle Swarm Optimization (PSO) are applied as search strategy in this paper and Alignment Metric (AM) is used as judgment. This study has realized the different source image registration of infrared and visible light with high speed high accuracy and high reliability. Basically with little restriction of gray level properties a new alignment measure is applied which can efficiently measure the image registration extent and tolerate noise well. Even more the intelligent optimization algorithm - Particle Swarm Optimization (PSO) is combined to improve the registration precision and rate of infrared and visible light. Experimental results indicate that the study attains the registration accuracy of pixel level and every registration time is cut down over 40 percent compared to traditional method. The match algorithm based on AM solves the registration problem that greater differences between different source images are existed on gray and characteristic. At the same time the adoption of combining the intelligent optimization algorithms significantly improves the searching efficiency and convergence speed of the algorithms and the registration result has higher accuracy and stability which builds up solid foundation for different source image fusion. The method in this paper has a magnificent effect and is easy for application and very suitable for engineering use. 2010 IEEE.