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3rd IEEE International Conference on Data science in Cyberspace, DSC 2018

作者： Zhao, Zhongwen Li, Zhangyuan Guo, Huanghuang Yang, Miaoben Space Engineering University Science and Technology On Complex Electronic System Simulation Laboratory Beijing China 63710 troops Taiyuan China

ISBN: (纸本)9781538642108

With the development and growing applications of information technology, the coupling and dependency of space information network are becoming more and more intense. In this paper, the vulnerability of space information network coupled with the communication network and function network is studied. Aiming at the shortage of traditional attack model, we put forward physical-attack and cyber-attack and set up different attack strategies such as random attack, targeted attack and gray attack. The concept of combat component is proposed and the cascading failure algorithm is given. The simulation shows that compared with traditional single network model, the interdependent network model based on the combat component can more accurately reflect the cascading failure mechanism of the space information network. This research results can provide guidance for space information network security research and invulnerability design. © 2018 IEEE.

关键词： Network security

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Design and modeling of satellite network structure for business scenarios

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Journal of Physics: Conference Series 2020年第1期1684卷

作者： Lintao Ren Zhongmin Pei Wei Xiong Zhangkai Luo Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing 101416 China

In view of the actual decentralized development of the satellite service constellation and the trend of space-ground integrated information network, based on the idea of clustering, methodology of complex network community structure, a business scenario-oriented satellite network structure is designed. On the one hand, it reflects the different separation and integration of satellite constellations in business scenarios. On the other hand, the 'head node' mechanism is introduced to be responsible for the interaction between constellation in different business scenarios. The satellite network structure is modeled using the growth and priority connection mechanism, and through computational derivation and simulation validation, the scale-free characteristics of the satellite network are revealed. Finally, through the simulation experiments on different satellite network parameters, the effect of different parameters on the static geometry, network efficiency, etc., are obtained. The influence of the law of the network will provide theoretical and methodological reference for the design of satellite network structure.

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A location method for ground moving target with azimuth spectrum aliasing in Geosynchronous Spaceborne-Airborne Bistatic multichannel SAR

A location method for ground moving target with azimuth spec...

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Signal, Information and Data Processing (ICSIDP), IEEE International Conference on

作者： Ying Zhang Wei Xiong Xichao Dong Cheng Hu Chengxiang Liu Yang Sun Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing China Key Laboratory of Electronic and Information Technology in Satellite Navigation (Beijing Institute of Technology) Ministry of Education Beijing China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

Geosynchronous Spaceborne-Airborne Bistatic multichannel SAR (GEO-SABM SAR) maintains the fine temporal sampling and wide coverage characteristics of monostatic GEO SAR. But due to the PRF of GEO platform is very low, azimuth spectrum aliasing (ASA) will occur in GEO-SABM SAR which will make a moving target divided into several sub-targets. In this paper, a location method for ground moving target with ASA has given. From the simulation results, the moving target can be discriminated and located.

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Researchment of Mainlobe Anti-jamming Algorithms

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Journal of Physics: Conference Series 2020年第1期1673卷

作者： Zhangkai Luo Zhongmin Pei Yinan Li Xinmin Wang Bo Zou Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing 101400 China.

Main lobe interferences usually cause the distortion and peak offset of main lobe and the heighten of side lobe level in adaptive beamformers. The block matrix algorithm utilized the direction vector which was determined by both the antenna arrays and the direction of interference to eliminate the main lobe interference. But this algorithms is sensitive to the error occurred in the interference arrive angle and would consume the array of degrees of freedom. In this paper a new algorithm is proposed which projects the receive signal into a space which is orthogonal to the signal subspace to achieve the goal. The space can get by three steps. Frist we obtain eigenvalues by the decomposition of the covariance matrix of the snapshots to evaluate the noise power. Then we get a new matrix by removing the noise from the covariance matrix of the snapshots. At last we get the target space by conducting the singular value decomposition to the new matrix. Performance is mainly assessed in terms of the beamforming gain and the signal to interference and noise (SINR) ratio. The computer simulation shows the effective of this method.

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Hyperspectral image denoising base on adaptive sparse representation 3

Hyperspectral image denoising base on adaptive sparse repres...

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3rd IEEE International Conference on Data science in Cyberspace, DSC 2018

作者： Song, Xiaorui Wu, Lingda Hao, Hongxing Graduate School Space Engineering University Beijing China Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing China

ISBN: (纸本)9781538642108

The hyperspectral image(HSI) generated by most imaging spectrometer systems is constantly disturbed by noise. In this research, we introduced an HSI denoising method based on the theory of sparse coding extended to the spectral domain. The algorithm employs variable separation method and augmented Lagrangian method in sparse coding and constitutes the adaptive dictionary from the pixel spectral vectors extracted from the noisy image. Our results demonstrate that the HSI denoising performance is related to the sparsity of the representation. The effectiveness of the new adaptive sparse coding based approach to hyperspectral denoising, termed HyDeASp, is illustrated in a series of experiments on synthetic and real-world data where it outperforms the state-of-the-art. © 2018 IEEE.

关键词： Image denoising

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Modified ddpg algorithm applied to simulation supervised learning 48

Modified ddpg algorithm applied to simulation supervised lea...

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48th International Conference on Computers and Industrial Engineering, CIE 2018

作者： Jia, Zhengxuan Xiao, Yingying Zhao, Zhilong Lin, Tingyu State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Beijing China Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation Center Beijing China Science and Technology on Space System Simulation Laboratory Beijing Simulation Center Beijing China

With rapid development of machine learning, supervised learning and reinforcement learning have witnessed a considerable success. However, some problems like the absence of supervising signal in supervised learning are not yet solved. In this paper, a novel approach has been proposed based on the deep deterministic policy gradient algorithm to address such kind of problems, forming the training of an agent supervised by the simulation environment. As verification, our proposed approach is applied to a modified tower defense game, and the experimental results confirmed the effectiveness of our proposed approach. © 2018, Curran Associates Inc. All rights reserved.

关键词： Supervised learning

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Fusion of panchromatic and multispectral images via morphological operator and improved PCNN in mixed multiscale domain 10

Fusion of panchromatic and multispectral images via morpholo...

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10th IAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2018

作者： Jiao, Jiao Lingda, Wu Department of Graduate Management Space Engineering University Beijing China Simulation Laboratory Space Engineering University Science and Technology on Complex Electronic System Beijing China

ISBN: (纸本)9781538684795

In order to effectively combine the spectral information of the multispectral (MS) image with the spatial details of the panchromatic (PAN) image and improve the fusion quality, a fusion method based on morphological operator and improved pulse coupled neural network (PCNN) in mixed multi-scale (MM) domain is proposed. Firstly, the MS and PAN images are decomposed by nonsubsampled shearlet transform (NSST) to low- and high-frequency coefficients, respectively;secondly, morphological filter-based intensity modulation (MFIM) technology and stationary wavelet transform (SWT) are applied to the fusion of the low-frequency coefficients;an improved PCNN model is employed to the fusion of the high-frequency coefficients;thirdly, the final coefficients are reconstructed with inverse NSST. The experimental results on QuickBird satellite demonstrate that the proposed method is superior to five other kinds of traditional and popular methods: HIS, PCA, SWT, NSCT-PCNN and NSST-PCNN. The proposed method can improve the spatial resolution effectively while maintaining the spectral information well. The experimental results show that the proposed method outperforms the other methods in visual effect and objective evaluations. © 2018 IEEE.

关键词： Image fusion

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Affinity Propagation for Hyperspectral Band Selection 2

Affinity Propagation for Hyperspectral Band Selection

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2018 2nd International Symposium on Resource Exploration and Environmental science, REES 2018

作者： Ren, Zhiwei Wu, Lingda Department of Graduate Management Space Engineering University Beijing101416 China Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing101416 China

Because hyperspectral images have the characteristics of high correlation between bands and strong information redundancy, the reduction in dimension of hyperspectral images is an important step in the pre-processing of hyperspectral images. Band selection can preserve the physical meaning of the original data while reducing dimension and has application in many aspects. Affinity Propagation Clustering (AP) is a clustering method proposed by Fray et al. in 2007. AP clusters based on the correlation between data points and treats all data points as potential cluster centers. This paper proposes a band selection method based on AP clustering, which introduces wavelet transform into the calculation of similarity and preference value in clustering algorithm. The dimensionality reduction results are input into the minimum distance classifier for classification, and the classification accuracy was calculated. The dataset is validated by the Indiana Pines dataset. The experimental results verify the effectiveness of the proposed method. © Published under licence by IOP Publishing Ltd.

关键词： Wavelet transforms

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A General Framework for Chinese Domain Knowledge Graph Question Answering Based on TransE

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Journal of Physics: Conference Series 2020年第1期1693卷

作者： Zhongmin Pei Jie Zhang Wei Xiong Li Li Zhangkai Luo Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing China Gaojing Network Management and Security Center Beijing China

This paper introduces a general question answering (QA) framework for Chinese domain knowledge graphs to serve various industries. The question is analyzed by shielding invalid characters in this framework, and the TransE calculation of entities and relations is used to search answer, rather than traditional logical queries that rely heavily on predefined rules. In this way, the QA framework can be easily applied to different fields with little manual participation, and reduce the migration cost caused by the lack of scalability of the existing QA systems, which are designed only for specific domains. Then, the proposed framework is operated on the space launch knowledge graph and has achieved HITS@1, HITS@3, HITS@5 scores of 60.60%, 80.87%, 85.61% separately, which is competitive with other restricted domain knowledge graphs. In addition, numerical results on the knowledge graph of the Three Kingdoms and the COVID-19-Character verified the scalability of the QA framework.

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A Phase Unwrapping Method for Large Scale Interferometric Phase Images 2017

A Phase Unwrapping Method for Large Scale Interferometric Ph...

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Proceedings of the International Conference on Imaging, Signal Processing and Communication

作者： Hao Hongxing Wu Lingda Song Xiaorui Science and Technology on Complex Electronic System Simulation Laboratory Equipment Academy

ISBN: (纸本)9781450352895

Optical interferometry images are widely used in many research areas such as geoscience and remote sensing. However, the phase image which gets from the sensors is modulo-2π, and an important process is to estimate the absolute phase from the observation which is termed phase unwrapping. This paper addresses the absolute phase estimation of large scale images. The proposed phase unwrapping method is patch based which divides the large interferogram into small patches and does the unwrapping based on Markov Random Field for each small patch. This paper also analyzes the two types of errors that may be caused in the combination of the patches and studies how to get rid of these errors. The advantage of the proposal is that the method can be used for the wrapped phase images with discontinuous areas. Experiments in the paper show the efficiency of the proposed algorithm.

关键词： Phase Unwrapping InSAR image processing Remote sensing Digital Elevation Model data

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