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MIPPR 2009 - Remote Sensing and GIS Data processing and Other Applications: 6th International Symposium on Multispectral image processing and Pattern Recognition

作者： Li, Shidong Ding, Mingyue Cai, Chao Institute for Pattern Recognition and Artificial Intelligence National Lab. for Multi-spectral Information Processing Technologies Huazhong University of Science and Technology Wuhan 430074 China Hubei University for Nationalities Enshi Hubei 445000 China College of Life Science and Technology Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478092

It is difficult to meet both direction and curvature constraints for traditional Fast Marching (FM) method in path planning. Based on adjusting the cost function in Eiknoal equation-the control equation for FM, a new model for computing the integrated cost function was presented in this paper. A relationship formula about curvature radius was obtained and three kinds of adjusting strategies were given;two of them were used to modify the route to meet with the requires of turning constraint in this paper. Experiments showed that the improved model can be used to plan the path with FMM for agent such as unmanned aerial vehicle (UAV) or robot, which is limited to pass through the scene matching areas. And our preliminary experiments demonstrated that the strategies are feasible and efficient to obtain path with certain curvature radius. The model can also be used to represent the problem such as an aircraft flying in a flow field. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Motion planning

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A novel path planning method based on path network

A novel path planning method based on path network

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MIPPR 2009 - Medical Imaging, Parallel processing of images, and Optimization Techniques: 6th International Symposium on Multispectral image processing and Pattern Recognition

ISBN: (纸本)9780819478085

Traditional path planning methods are too slow to meet the real-time requirement in practical applications. In order to solve this problem, an idea of path net was proposed in this paper. The path planning procedure is divided into two steps: network segment planning and segment assembling. The first step was done with Fast Marching Method, including port selection of segment and network segment planning. Second step, the A* searching method was chosen to select segments for assembling. Experiments demonstrated that our method can obtain an optimal route in a few of seconds after the start and goal are given while several minutes are needed for traditional methods. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Motion planning

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Adaptive Synchronization between Two Different Complex Networks with Time-Varying Delay Coupling

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Chinese Physics Letters 2009年第6期26卷 61-64页

作者：陈建芮焦李成吴建设王晓华 Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China Institute of Intelligence Information Processing Xidian University Xi'an 710071 College of Science Inner Mongolia University of Technology Inner Mongolia 010051

A new general network model for two complex networks with time-varying delay coupling is presented. Then we investigate its synchronization phenomena. The two complex networks of the model differ in dynamic nodes, the number of nodes and the coupling connections. By using adaptive controllers, a synchronization criterion is derived. Numerical examples are given to demonstrate the effectiveness of the obtained synchronization criterion. This study may widen the application range of synchronization, such as in chaotic secure communication.

关键词： gamma-ray bursts gamma-rays relativity

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Hardware neural network on an SOPC platform

Hardware neural network on an SOPC platform

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MIPPR 2009 - Pattern Recognition and Computer Vision: 6th International Symposium on Multispectral image processing and Pattern Recognition

作者： Liu, Yifei Ding, Mingyue Hu, Xia Zhou, Yanhong Department of Biomedical Engineering Xianning Institute Xianning Hubei 437100 China College of Life Science and Technology Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Huazhong Univ. of Science and Technology Wuhan 430074 China School of Medicine Xianning Institute Xianning Hubei 437100 China

ISBN: (纸本)9780819478078

SOPC (System on Programmable Chip) is an on-chip programmable system based on large scale Field Programmable Arrays (FPGAs). This paper presented an implementation of an SOPC system with a custom hardware neural network using Altera FPGA chip-EP2C35F672C. The embedded Nios processor was used as the test bench. The test result showed that the SOPC Platform with hardware neural network is faster than the software implementation respectively and the accuracy of the design meets the requirement of system. The verified SOPC system can closely model real-world system, which will have wide applications in different areas such as pattern recognition, data mining and signal processing. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Neural networks

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Adaptive dynamic inversion robust control for BTT missile based on wavelet neural network

Adaptive dynamic inversion robust control for BTT missile ba...

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MIPPR 2009 - Pattern Recognition and Computer Vision: 6th International Symposium on Multispectral image processing and Pattern Recognition

作者： Li, Chuanfeng Wang, Yongji Deng, Zhixiang Wu, Hao Department of Control Science and Engineering Huazhong University of Science and Technology 1037 Luoyu Road Wuhan 430074 China Luoyang Institute of Science and Technology 90 Wangcheng Avenue Luoyang 471023 China Key Laboratory of Ministry of Education for Image Processing and Intelligent Control 1037 Luoyu Road Wuhan 430074 China

ISBN: (纸本)9780819478078

A new nonlinear control strategy incorporated the dynamic inversion method with wavelet neural networks is presented for the nonlinear coupling system of Bank-to-Turn(BTT) missile in reentry phase. The basic control law is designed by using the dynamic inversion feedback linearization method, and the online learning wavelet neural network is used to compensate the inversion error due to aerodynamic parameter errors, modeling imprecise and external disturbance in view of the time-frequency localization properties of wavelet transform. Weights adjusting laws are derived according to Lyapunov stability theory, which can guarantee the boundedness of all signals in the whole system. Furthermore, robust stability of the closed-loop system under this tracking law is proved. Finally, the six degree-of-freedom(6DOF) simulation results have shown that the attitude angles can track the anticipant command precisely under the circumstances of existing external disturbance and in the presence of parameter uncertainty. It means that the dependence on model by dynamic inversion method is reduced and the robustness of control system is enhanced by using wavelet neural network(WNN) to reconstruct inversion error on-line. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Lyapunov functions

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image enhancement based on intrascale dependencies of the second generation curvelet transform

Image enhancement based on intrascale dependencies of the se...

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MIPPR 2009 - Remote Sensing and GIS Data processing and Other Applications: 6th International Symposium on Multispectral image processing and Pattern Recognition

作者： Hao, Hongxia Liu, Fang Jiao, Licheng School of Computer Science and Technology Xidian University Xi'an 710071 China Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China Xi'an 710071 China Institute of Intelligent Information Processing Xidian University Xi'an 710071 China

ISBN: (纸本)9780819478092

This paper presents a strong noise image enhancement method based on intrascale dependencies of the second generation curvelet transform. Observing that the immediate four neighbor coefficients bear the most important dependencies, we use spatial clustering property of the intrascale neighbor coefficients to separate noise and signal of interest, and to deal with them differently, i.e. to suppress noise and strengthen edges. Comparing our approach with Starck's enhancement model (Starck et al., 2003), we experimentally find that for high noise level images, our method outperforms the starck's system in noise suppression and signal strengthening and produces better enhancement results. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： image enhancement

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Arithmetic extended-mapping for BICM-ID with repetition codes

Arithmetic extended-mapping for BICM-ID with repetition code...

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International ITG Workshop on Smart Antennas, WSA 2009

作者： Yano, Takashi Matsumoto, Tad Central Research Laboratory Hitachi Ltd 1-280 Higashi-koigakubo Kokubunji Tokyo185-8601 Japan Information Theory and Signal Processing Laboratory Japan Advanced Institute of Science and Technology University of Oulu 1-1 Asahidai Nomi Ishikawa923-1292 Finland

A novel arithmetic extended mapping technique is proposed in this paper for bit-interleaved coded modulation with iterative decoding (BICM-ID) with repetition codes as well as for their modifications. With the proposed mapping scheme, the computational complexity of BICM-ID is significantly reduced compared with conventional quadrature amplitude modulation (QAM) mapping schemes Performances of BICM-ID using the proposed extended mapping rules are also verified both by the extrinsic information transfer (EXIT) analysis and bit error rate (BER) simulations. The results show that with the proposed BICM-ID scheme, the code rate, at which, given the channel signal-to-noise power ratio (SNR) bit error rate can made arbitrarily small, is almost 90% of channel capacity, and such excellent property holds at relatively wide range of SNR values.

关键词： Mapping

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Identifying protein-protein interaction sites using adapted Bayesian classifier

Identifying protein-protein interaction sites using adapted ...

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2009 Second ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM 2009

作者： Chishe, Wang Jie, Song Fangping, Li Junsong, Lv School of Information Technology Jinling Institute of Technology Nanjing 211169 China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China Center of Network University of Science and Technology of China Hefei 230029 China Anhui Statistics Bureau Hefei 230001 China

ISBN: (纸本)9781424442461

Identifying protein-protein interaction sites have important connotations ranging from rational drug design to analysis metabolic and signal transduction networks. In this paper, we presented an adapted Bayesian classifier based on tree augmented naïve Bayesian classifier to predict interface residues of protein-protein interaction sites. This classifier used fixed structure which could denote the correlation of sequence neighborhood and the character of protein's features. The conditional probability tables of the classifier were learned from the training dataset. By testing our approach on 81 hetero-complex chains, experimental results demonstrate the performance of our approach is indeed superior to current existing methods. The success of the predictions is validated by examining the predictions in the context of the three-dimensional structures of protein complexes. ©2009 IEEE.

关键词： Forecasting

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Methods for factorization and approximation of Tensors by partial Fiber Sampling

Methods for factorization and approximation of Tensors by pa...

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IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive processing (CAMSAP)

作者： Cesar F. Caiafa Andrzej Cichocki Laboratory of Advanced Brain Signal Processing Brain Science Institute Riken Japan Systems Research Institute Warsaw University of Technology Pan Poland

ISBN: (纸本)9781424451791;9781424451807

In this paper we present, discuss and compare new methods for the reconstruction of tensors by partial sampling, i.e. based on the information contained only in a subset of their entries. As a generalization of the CUR matrix decomposition, which approximates a matrix from a subset of its rows and columns, we present two methods called Tree-CUR and FSTD (Fiber Sampling Tensor Decomposition) for estimating a tensor by using a subset of its n-mode fibres, i.e. some row, column and tube fibers for a 3-dimensional tensor case. As our experimental results show, these new methods are potentially useful tools for signal processing with huge datasets since they provide fast algorithms for calculating low-rank approximations without needing to sample the whole dataset.

关键词： Tensile stress Sampling methods signal processing algorithms signal sampling Matrix decomposition Frequency image analysis signal analysis Conferences Laboratories

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A shadow detection method for remote sensing images using Affinity Propagation algorithm

A shadow detection method for remote sensing images using Af...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Huaiying Xia Xinyu Chen Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China School of Computer Science and Technology Beijing Institute of Technology Beijing China

Shadow detection in high spatial resolution remote sensing image is very critical for locating geographical targets. In this paper, we proposed a new shadow detection method using Affinity Propagation (AP) algorithm in the Hue-Saturation-Intensity (HSI) color space. Because the pixel matrix is a large-scale matrix, if we apply AP algorithm directly on the raw pixel space, it will be computation intensive to calculate the similarity matrix. To solve this problem, we propose to divide the matrix into several blocks and then applying AP to detect shadows in H, S and I components respectively. Then, three detected images are fused to obtain a final shadow detection result. Comparative experiments are performed for K-means and threshold segmentation methods. The experimental results show that higher detection accuracy of the proposed approach is obtained, and it can solve the problems of false dismissals of K-means and threshold segmentation method.

关键词： Remote sensing image segmentation Space technology Shape Color Layout Histograms image processing Spatial resolution Object detection

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