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检索条件"机构=Key Lab. for Image Processing and Intelligent Control"

共 184 条记录，以下是21-30 订阅

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Unsupervised image segmentation based on nonsubsampled contourlet hidden markov trees model

Unsupervised image segmentation based on nonsubsampled conto...

引用

2009 Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2009

作者： Xin, Fangfang Jiao, LiCheng Wan, Honglin Key Lab. of Intelligent Perception and Image Understanding of Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an 710071 China

ISBN: (纸本)9781424427314

Based on the shift invariance and multidirectional expansion properties of Nonsubsampled Contourlet Transform, a new image segmentation combining hidden Markov trees model with Bayesian approaches is proposed here. The training blocks can be got in pre-segmentation by using histogram approximation. To integrated use the information of different scales, we use the contextual model to segment raw segmentations and fuse them to get the final image. We compared our result with Wavelet domain HMTseg method and Contourlet domain HMTseg method, the result shows that our method has better performance in edges but lower missed classed probability. The simulation results of synthetic mosaic image, aerial image and SAR image are showed to prove the generalization of this method. ©2009 IEEE.

关键词： image segmentation

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Road extraction in remote sensing images based on nonsubsampled contourlet transform

Road extraction in remote sensing images based on nonsubsamp...

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2009 Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2009

作者： Zhong, Hua Feng, Yingtao Jiao, Licheng Key Lab. of Intelligent Perception and Image Understanding of the Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an 710071 China

ISBN: (纸本)9781424427314

A new method for automated road extraction in remote sensing images is proposed based on Nonsubsampled Contourlet Transform (NSCT). Due to the advantages of multi-scale, multi-direction and translation invariance, NSCT is much efficient for the capture of linear singularity of road target. A pixel-wised feature extraction algorithm is given first based on the analysis of the NSCT coefficient responses for the road target. Final results can be achieved by the simple fuzzy C-means clustering and the postprocessing steps. Experimental results demonstrate that our method outperforms other methods such as Gabor wavelet in accuracy, localization and false detection. ©2009 IEEE.

关键词： image enhancement

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Partial differential equation model method based on image feature for denoising

Partial differential equation model method based on image fe...

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International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping

作者： Zhang, Xiaohua Wang, Ran Jiao, L.C. Key Lab. of Intelligent Perception and Image Understanding of the Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an 710071 China

ISBN: (纸本)9781424494040

For the special different nature images, we could hardly find particularly desirable approach, and there always exist Gibbs-type artifacts in the results of most methods. A novel Partial Differential Equation (PDE) model is proposed based on image feature for images denoising. The PDE model is adaptive within each region according to the details of the image feature to adjust the size of the diffusion coefficient. So it can be disposed the high gradient noise at the same time better to retain the edge information. We also analyze the performance of the PDE model method. Numerical results show that our algorithm competes favorably with state of the-art TV projection methods to eliminate noise and reduce Gibbs-type artifacts. ©2011 IEEE.

关键词： image denoising

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A spectral radius based evaluation function for automatic focusing

A spectral radius based evaluation function for automatic fo...

引用

2019 IEEE International Conferences on Ubiquitous Computing and Communications and Data Science and Computational Intelligence and Smart Computing, Networking and Services, IUCC/DSCI/SmartCNS 2019

作者： Peng, Guojin Lv, Meini Wang, Kuikui Guangxi Colleges and Universities Key Lab. of Image Processing and Intelligent Information System Wuzhou University WuZhou543002 China

ISBN: (纸本)9781728152097

Curves generated by traditional evaluating functions contain large amount of local extremums, easily leading to focal-plane misjudgments. We propose a new clarity evaluation method based on spectral radius. The spatial information is converted into frequency domain by Discrete Cosine Transformation, then a sector that contains more than 99 percent of the total spectrum energy is extracted, and the radius of this sector is employed to estimate the degree of clarity of current image. Since the scope of spectral radius is steady and limited to image size, it provides effective reference for selection of lower limit of spectral radius which is utilized to avoid local fluctuation and maintain the unimodality of evaluation curves. The experimental results demonstrate that the spectral radius based evaluation method forms curves with fewer local extremums and better robustness. © 2019 IEEE.

关键词： Frequency domain analysis

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Change detection in SAR image based on multisacle product and PCA

Change detection in SAR image based on multisacle product an...

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2009 Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2009

作者： Wang, Guiting Zhang, Fengyu Jiao, Licheng Key Lab. of Intelligent Perception and Image Understanding of the Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an 710071 China

ISBN: (纸本)9781424427314

In this paper, we present a new method of change detection in SAR images based on multiscale product of wavelet transform and PCA algorithm. This method applied multiscale product of wavelet transform, in order to avoid the affect of speckle noise in SAR, enhance the changed information and weaken the effect of noise. The algorithm of PCA is used to merge every scale after the process of multiscale product. To show the effectiveness of the proposed technique, experiments are conducted on two SAR datasets. Results are compared with two methods which based on wavelet transform and PCA, and it is proved to be superior. ©2009 IEEE.

关键词： Synthetic aperture radar

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An unsupervised change detection based on clustering combined with multiscale and region growing

An unsupervised change detection based on clustering combine...

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International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping

作者： Zhang, Xiaohua Wang, Le Jiao, L.C. Key Lab. of Intelligent Perception and Image Understanding of the Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an 710071 China

ISBN: (纸本)9781424494040

In this paper, a novel approach is proposed for unsupervised change detection of multitemporal remote sensing images. The proposed method is able to produce the change detection result on the difference image without a priori assumptions .Firstly, the difference image which is acquired from multitemporal images. Mean shift algorithm is used to reduce noise of difference image and fake change. Then stationary wavelet transform (SWT) is used to extract feature vector of each pixel .The final change detection map is achieved by k-means clustering combined with region growing. The comparisons with the state-of-the-art change detection methods are provided. ©2011 IEEE.

关键词： Change detection

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Distributed Equally Surrounding control for Multiple Unmanned Surface Vessels 41

Distributed Equally Surrounding Control for Multiple Unmanne...

引用

第41届中国控制会议

作者： Fu-Long Hu Chuan-Cong Tang Bin-Bin Hu Bowen Xu Hai-Tao Zhang School of Artificial Intelligence and Automation the Key Laboratory of Image Processing and Intelligent Controland the State Key Lab of Digital Manufacturing Equipment and TechnologyHuazhong University of Science and Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper proposes a distributed controller to equally surround a static target with multiple unmanned surface vessels(USVs).By utilizing the mutually repulsive method,the proposed controller addresses the equally surrounding problem,taking into account the influence of time-varying topologies,and the total number USVs which is a 'global information is not used in the *** asymptotic convergence of the closed-loop multi-USV system is guaranteed with rigorous ***,the effectiveness of the controller is verified by numerical simulations.

关键词： Equally surrounding unmanned surface vessels(USVs) multi-agent system

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Linear Extended State Observer-based Sliding Mode control of Active Magnetic Bearing Systems 41

Linear Extended State Observer-based Sliding Mode Control of...

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第41届中国控制会议

作者： Ziheng Yu Yifeng Tang Bowen Xu Xiang Huang Hai-Tao Zhang School of Artificial Intelligence and Automation the Key Laboratory of Image Processing and Intelligent Controland the State Key Lab of Digital Manufacturing Equipment and TechnologyHuazhong University of Science and Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In the last decades,as a typical nonlinear system,active magnetic bearings(AMB) system has been widely applied in manufacturing systems.A sliding mode control(SMC) scheme for the AMB system is proposed with the disturbance observation of the linear extended state observer(LESO) in this *** chattering of the AMB system has been reduced by LESO-SMC by at least 60%.Sufficient BIBO(bounded input-bounded output) stability conditions of the closed-loop AMB system governed by the proposed LESO-SMC are derived by Lyapunov ***,experiments are conducted to verify the effectiveness and superiority of the proposed LESO-SMC than conventional SMC.

关键词： Active magnetic bearing systems state observer sliding mode control chattering

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Clearance of flight control law based on H-infinity theory

Clearance of flight control law based on H-infinity theory

引用

2012 International Conference on Modelling, Identification and control, ICMIC 2012

作者： Dong, Shuai Wang, Zhishen Liu, Lei Ou, Liuli Wang, Yongji Key Lab for Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology 1037 Luoyu Road Wuhan China

ISBN: (纸本)9780956715715

The H approach is used for the clearance of flight control laws when some parameters in the flight control system vary in a certain range. The proposed H approach is developed from general H theory and is applied to the clearance of a flight control law for a missile. Based on bounded real lemma, two theorems about clearance are deduced, and the clearance problem is transformed to a general linear matrix inequality problem. A BTT missile is chosen as an example to test the proposed method. The simulation result shows that the proposed method is convenient and efficient. © 2012 Huazhong Univ of Sci & Tec.

关键词： Flight control systems

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Research on key technologies of overlay multiple access based on deep learning

Research on key technologies of overlay multiple access base...

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2021 International Conference on Computer, Communication, control, Automation and Robotics, CCCAR 2021

作者： Huang, Ronglan Guangxi Colleges and Universities Key Lab. of Image Processing and Intelligent Information System Wuzhou University Guangxi Wuzhou543002 China

NOMA (Non-Orthogonal Multiple Access), as one of the candidate technologies of 5G, can improve the spectrum efficiency and system capacity, and has attracted wide attention. The essence of NOMA is multi-user overlay transmission in power domain, and multiple users will schedule on the same sub-band. The fundamental principle and key technologies of NOMA technology, such as power multiplexing superposition coding technology and SIC (Successful Interference Cancellation) technology, are described. The BER performance of NOMA communication system based on power domain in downlink is studied, and the appropriate power allocation ratio range is obtained. From the overall point of view of the system, users are grouped with the goal of maximizing the channel gain difference of all matched users, and then the problem of maximizing the weighted sum rate is transformed into the problem of minimizing the weighted sum mean square error by using the deep learning algorithm. By updating each optimization parameter iteratively in turn, it converges to the local optimum of the objective function. This method can improve the weighting and rate performance of the system with fewer iterations. © Published under licence by IOP Publishing Ltd.

关键词： Mean square error

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