DDDAS for space applications
暂无分享,去创建一个
Genshe Chen | Khanh Pham | Erik Blasch | Dan Shen | E. Blasch | Genshe Chen | Dan Shen | K. Pham
[1] Genshe Chen,et al. Multi-Pursuer Multi-Evader Pursuit-Evasion Games with Jamming Confrontation , 2007, J. Aerosp. Comput. Inf. Commun..
[2] Genshe Chen,et al. A probabilistic situational awareness and reasoning methodology for satellite communications resource management , 2015, 2015 IEEE Aerospace Conference.
[3] Dennis S. Bernstein,et al. Transformative Advances in DDDAS with Application to Space Weather Monitoring , 2015 .
[4] A. Ash,et al. Findings from the UK and Canadian Space Situational Awareness (SSA) Experimentation during the Relocation of SKYNET 5A Satellite , 2016 .
[5] C. Yang,et al. Nonlinear constrained tracking of targets on roads , 2005, 2005 7th International Conference on Information Fusion.
[6] S. Plano,et al. DFIG level 5 (user refinement) issues supporting situational assessment reasoning , 2005, 2005 7th International Conference on Information Fusion.
[7] Erik Blasch,et al. Dynamic Data Driven Applications System Concept for Information Fusion , 2013, ICCS.
[8] James Llinas,et al. High Level Information Fusion (HLIF): Survey of models, issues, and grand challenges , 2012, IEEE Aerospace and Electronic Systems Magazine.
[9] Barry Smith,et al. The Space Object Ontology , 2016, 2016 19th International Conference on Information Fusion (FUSION).
[10] Erik Blasch,et al. Revisiting the JDL model for information exploitation , 2013, Proceedings of the 16th International Conference on Information Fusion.
[11] J. Murray-Krezan,et al. Using Machine Learning for Advanced Anomaly Detection and Classification , 2016 .
[12] Malek Adjouadi,et al. Debris characterization techniques via unresolved long-wave infrared imaging from a space-based platform , 2014 .
[13] Genshe Chen,et al. A joint manifold leaning-based framework for heterogeneous upstream data fusion , 2018, Journal of Algorithms & Computational Technology.
[14] M. Kruglanski,et al. Services for GNSS users within the ESA Space Situational Awareness Space Weather Service Network , 2015, 2015 International Association of Institutes of Navigation World Congress (IAIN).
[15] Erik Blasch,et al. Game theoretic sensor management for target tracking , 2010, Defense + Commercial Sensing.
[16] Zhonghai Wang,et al. Ground jammer localization with two satellites based on the fusion of multiple parameters , 2011, Defense + Commercial Sensing.
[17] Raktim Bhattacharya,et al. Optimal Transport Based Tracking of Space Objects in Cylindrical Manifolds , 2019, The Journal of the Astronautical Sciences.
[18] Gang Wang,et al. High-throughput, cyber-secure multiuser superposition covert avionics system , 2018, IEEE Aerospace and Electronic Systems Magazine.
[19] Kuo-Chu Chang,et al. Development and analysis of a probabilistic reasoning methodology for spectrum situational awareness and parameter estimation in uncertain environments , 2015, 2015 18th International Conference on Information Fusion (Fusion).
[20] Gang Wang,et al. Performance evaluation of SATCOM link in the presence of radio frequency interference , 2016, 2016 IEEE Aerospace Conference.
[21] Erik Blasch,et al. Pursuit-evasion games with information uncertainties for elusive orbital maneuver and space object tracking , 2015, Defense + Security Symposium.
[22] Genshe Chen,et al. Cooperative space object tracking using space-based optical sensors via consensus-based filters , 2016, IEEE Transactions on Aerospace and Electronic Systems.
[23] Atsuo Ozaki,et al. Enhanced observation scheduling method for space situational awareness , 2016, 2016 55th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).
[24] Erik Blasch,et al. Orbital satellite pursuit-evasion game-theoretical control , 2012, 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA).
[25] Erik Blasch,et al. JDL level 5 fusion model: user refinement issues and applications in group tracking , 2002, SPIE Defense + Commercial Sensing.
[26] Suman Chakravorty,et al. An Unscented Kalman-Particle Hybrid Filter for Space Object Tracking , 2018 .
[27] Manoranjan Majji. Space Object and Light Attribute Rendering (SOLAR) Projection System , 2017 .
[28] Gang Wang,et al. Hybrid onboard and ground based digital channelizer beam-forming for SATCOM interference mitigation and protection , 2016, SPIE Defense + Security.
[29] Erik Blasch,et al. URREF for veracity assessment in query-based information fusion systems , 2015, 2015 18th International Conference on Information Fusion (Fusion).
[30] David Frederic Crouse,et al. On measurement-based light-time corrections for bistatic orbital debris tracking , 2015, IEEE Transactions on Aerospace and Electronic Systems.
[31] Erik Blasch,et al. Dynamic Data-driven Application System (DDDAS) for Video Surveillance User Support , 2015, ICCS.
[32] John J. Salerno,et al. Evaluating algorithmic techniques in supporting situation awareness , 2005, SPIE Defense + Commercial Sensing.
[33] Erik Blasch,et al. Multi-entity Bayesian network for the handling of uncertainties in SATCOM links , 2015, Defense + Security Symposium.
[34] Zheng Liu,et al. Multispectral Image Fusion and Colorization , 2018 .
[35] Sang Peter Chin. Game-theoretic homological sensor resource management for SSA , 2009, Defense + Commercial Sensing.
[36] Jason L. Speyer,et al. Health Monitoring of a Satellite System , 2013 .
[37] Erik Blasch,et al. Characterizing the semantic information loss between geospatial sensors and geospatial information systems (GIS) , 2011, Defense + Commercial Sensing.
[38] Genshe Chen,et al. Information fusion in a cloud computing era: A systems-level perspective , 2014, IEEE Aerospace and Electronic Systems Magazine.
[39] Tian Xin,et al. Secure spectrum-efficient frequency hopping for return link of protected tactical satellite communications , 2016 .
[40] R. Weisman,et al. OrbitOutlook: Autonomous Verification and Validation of Non-Traditional Data for Improved Space Situational Awareness , 2016 .
[41] Chun Yang,et al. Optimal Placement of Heterogeneous Sensors for Targets with Gaussian Priors , 2013, IEEE Transactions on Aerospace and Electronic Systems.
[42] Roberto Furfaro,et al. Mapping Sensors Measurements to the Resident Space Objects Behavior Energy and State Parameters Space via Extreme Learning Machines , 2016 .
[43] Erik Blasch,et al. Uncertainty representation, quantification and evaluation for data and information fusion , 2015, 2015 18th International Conference on Information Fusion (Fusion).
[44] Dennis S. Bernstein,et al. Correction of the photoelectron heating efficiency within the global ionosphere-thermosphere model using Retrospective Cost Model Refinement , 2015 .
[45] Erik Blasch,et al. Dynamic, data-driven processing of multispectral video streams , 2017, IEEE Aerospace and Electronic Systems Magazine.
[46] Erik Blasch,et al. DDDAS-Based Resilient Cyber Battle Management Services (D-RCBMS) , 2015, HiPC 2015.
[47] Genshe Chen,et al. On effectiveness of routing algorithms for satellite communication networks , 2013, Defense, Security, and Sensing.
[48] Erik Blasch,et al. A Markov game model for space threat prediction , 2008, SPIE Defense + Commercial Sensing.
[49] R S Erwin,et al. Dynamic sensor tasking for Space Situational Awareness , 2010, Proceedings of the 2010 American Control Conference.
[50] Dennis S. Bernstein,et al. Data Assimilation Using the Global Ionosphere-Thermosphere Model , 2006, International Conference on Computational Science.
[51] C. Yang,et al. Pose angular-aiding for maneuvering target tracking , 2005, 2005 7th International Conference on Information Fusion.
[52] Jing Peng,et al. Regularized Difference Criterion for Computing Discriminants for Dimensionality Reduction , 2017, IEEE Transactions on Aerospace and Electronic Systems.
[53] Erik Blasch,et al. Context-Enhanced Information Fusion: Boosting Real-World Performance with Domain Knowledge , 2016 .
[54] Aubrey B. Poore,et al. Multiple Hypothesis Tracking (MHT) for Space Surveillance: Results and Simulation Studies , 2013 .
[55] Roberto Furfaro,et al. Dynamic Sensor Tasking for Space Situational Awareness via Reinforcement Learning , 2016 .
[56] Lauro Snidaro,et al. Context-Enhanced Information Fusion , 2016, Advances in Computer Vision and Pattern Recognition.
[57] Eloi Bosse,et al. High-Level Information Fusion Management and System Design , 2012 .
[58] Daniel E. Hastings,et al. The Space Weather Threat to Situational Awareness, Communications, and Positioning Systems , 2015, IEEE Transactions on Plasma Science.
[59] Erik Blasch,et al. Track splitting technique for the contact lens problem , 2011, 14th International Conference on Information Fusion.
[60] Genshe Chen,et al. Joint transmission power control in transponded SATCOM systems , 2016, MILCOM 2016 - 2016 IEEE Military Communications Conference.
[61] Erik Blasch,et al. Comparison of several space target tracking filters , 2009, Defense + Commercial Sensing.
[62] Joshua T. Horwood,et al. AAS 16-447 ATHENA : A DATA-DRIVEN ANOMALY DETECTION AND SPACE OBJECT CLASSIFICATION TOOL FOR SSA , 2016 .
[63] Manoranjan Majji,et al. Analytic characterization of measurement uncertainty and initial orbit determination on orbital element representations , 2014 .
[64] Erik Blasch,et al. Multi-agent Modeling and Analysis for Space Situation Awareness , 2009 .
[65] T. S. Kelso,et al. Preliminaries of a Space Situational Awareness Ontology , 2016, ArXiv.
[66] Erik Blasch,et al. Issues and Challenges in Situation Assessment (Level 2 Fusion) , 2006, J. Adv. Inf. Fusion.
[67] Salim Hariri,et al. Resilient and Trustworthy Dynamic Data-driven Application Systems (DDDAS) Services for Crisis Management Environments , 2015, ICCS.
[68] Erik Blasch,et al. Mobile positioning via fusion of mixed signals of opportunity , 2014, IEEE Aerospace and Electronic Systems Magazine.
[69] Erik Blasch,et al. QuEST for Information Fusion in Multimedia Reports , 2014, Int. J. Monit. Surveillance Technol. Res..
[70] Khanh Pham,et al. Space collision threat mitigation , 2014, Defense + Security Symposium.
[71] Erik Blasch,et al. Uncertainty evaluation of data and information fusion within the context of the decision loop , 2016, 2016 19th International Conference on Information Fusion (FUSION).
[72] Allen M. Waxman,et al. Neural image fusion of remotely sensed electro-optical and synthetic aperture radar data for forest classification , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.
[73] Michael J. Duggin,et al. Multi-spectral image analysis for improved space object characterization , 2009, Optical Engineering + Applications.
[74] Qiang Zheng,et al. Remote sensing image fusion method based on multiscale morphological component analysis , 2016 .
[75] Frederick A. Leve,et al. Astrometric and photometric data fusion for inactive space object feature estimation , 2011 .
[76] Erik Blasch,et al. Jamming/anti-jamming game with a cognitive jammer in space communication , 2012, Defense + Commercial Sensing.
[77] Erik Blasch,et al. Cyber security with radio frequency interferences mitigation study for satellite systems , 2016, SPIE Defense + Security.
[78] Genshe Chen,et al. Prediction of compression-induced image interpretability degradation , 2018 .
[79] Erik Blasch,et al. Automatic Association of Chats and Video Tracks for Activity Learning and Recognition in Aerial Video Surveillance , 2014, Sensors.
[80] Erik Blasch,et al. Static Versus Dynamic Data Information Fusion Analysis Using DDDAS for Cyber Security Trust , 2014, ICCS.
[81] Alex J. Aved,et al. Multi-INT Query Language for DDDAS Designs , 2015, ICCS.
[82] Erik Blasch,et al. Mitigation of weather on channel propagation for satellite communications , 2016, SPIE Defense + Security.
[83] David Crouse,et al. Basic tracking using nonlinear 3D monostatic and bistatic measurements in refractive environments , 2014, IEEE Aerospace and Electronic Systems Magazine.
[84] Ba-Ngu Vo,et al. An overview of space situational awareness , 2013, Proceedings of the 16th International Conference on Information Fusion.
[85] E. Blasch,et al. Ten Methods to Fuse GMTI and HRRR Measurements for Joint Tracking and Identification , 2004 .
[86] Genshe Chen,et al. Cooperative space object tracking via multiple space-based visible sensors with communication loss , 2014, 2014 IEEE Aerospace Conference.
[87] John L. Crassidis,et al. Space Object Shape Characterization and Tracking Using Light Curve and Angles Data , 2014 .
[88] Erik Blasch,et al. Review of game theory applications for situation awareness , 2015, Defense + Security Symposium.
[89] Erik Blasch,et al. Performance Measures of Covariance and Information Matrices in Resource Management for Target State Estimation , 2012, IEEE Transactions on Aerospace and Electronic Systems.
[90] John Marshall,et al. A Realtime Observatory for Laboratory Simulation of Planetary Circulation , 2007, International Conference on Computational Science.
[91] John L. Crassidis,et al. Fundamentals of Spacecraft Attitude Determination and Control , 2014 .
[92] Erik Blasch,et al. Pursuit-evasion orbital game for satellite interception and collision avoidance , 2011, Defense + Commercial Sensing.
[93] Roberto Furfaro,et al. Space Object classification using deep Convolutional Neural Networks , 2016, 2016 19th International Conference on Information Fusion (FUSION).
[94] Erik Blasch,et al. GRoup IMM Tracking utilizing Track and Identification Fusion , 2001 .
[95] Erik Blasch,et al. Sensor management for collision alert in orbital object tracking , 2011, Defense + Commercial Sensing.
[96] Gang Wang,et al. Distributed QoS awareness in satellite communication network with optimal routing (QuASOR) , 2014, 2014 IEEE/AIAA 33rd Digital Avionics Systems Conference (DASC).
[97] Genshe Chen,et al. Wide-area motion imagery (WAMI) exploitation tools for enhanced situation awareness , 2012, 2012 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).
[98] Erik Blasch,et al. Game theoretic power allocation and waveform selection for satellite communications , 2015, Defense + Security Symposium.
[99] Gang Wang,et al. Network survivability oriented Markov games (NSOMG) in wideband satellite communications , 2014, 2014 IEEE/AIAA 33rd Digital Avionics Systems Conference (DASC).
[100] Shaolei Ren,et al. Game Theory for Cyber Security and Privacy , 2017, ACM Comput. Surv..
[101] Alexandru Takacs,et al. Microwave Power Harvesting for Satellite Health Monitoring , 2014, IEEE Transactions on Microwave Theory and Techniques.
[102] I. Kadar,et al. Resource management coordination with level 2/3 fusion issues and challenges [Panel Report] , 2008, IEEE Aerospace and Electronic Systems Magazine.
[103] Adrian Sandu,et al. Dynamic Data-Driven Environmental Systems Science , 2015, Lecture Notes in Computer Science.
[104] Genshe Chen,et al. Tracking evasive objects via a search allocation game , 2010, Proceedings of the 2010 American Control Conference.
[105] Erik Blasch,et al. Data association through fusion of target track and identification sets , 2000, Proceedings of the Third International Conference on Information Fusion.
[106] Erik Blasch,et al. Applying Aerospace Technologies to Current Issues Using Systems Engineering: 3rd AESS chapter summit , 2013 .
[107] Ba-Ngu Vo,et al. Challenges of multi-target tracking for space situational awareness , 2015, 2015 18th International Conference on Information Fusion (Fusion).
[108] Genshe Chen,et al. A novel framework for command and control of networked sensor systems , 2007, SPIE Defense + Commercial Sensing.
[109] Frederick A. Leve,et al. Astrometric and photometric data fusion for inactive space object mass and area estimation , 2014 .
[110] Genshe Chen,et al. An adaptive process-based cloud infrastructure for space situational awareness applications , 2014, Defense + Security Symposium.
[111] Puneet Singla,et al. Conjugate Unscented Transform based approach for dynamic sensor tasking and Space Situational Awareness , 2015, 2015 American Control Conference (ACC).
[112] Genshe Chen,et al. An investigation of image compression on NIIRS rating degradation through automated image analysis , 2016, SPIE Defense + Security.
[113] K. D. Pham,et al. Space Object Classification Using Fused Features of Time Series Data , 2017 .
[114] Erik Blasch,et al. Models in frequency-hopping-based proactive jamming mitigation for space communication networks , 2012, Defense + Commercial Sensing.
[115] Erik Blasch,et al. Towards unbiased evaluation of uncertainty reasoning: The URREF ontology , 2012, 2012 15th International Conference on Information Fusion.
[116] Genshe Chen,et al. A trust-based sensor allocation algorithm in cooperative space search problems , 2011, Defense + Commercial Sensing.
[117] Erik Blasch,et al. Dynamic Data Driven Applications Systems (DDDAS) modeling for automatic target recognition , 2013, Defense, Security, and Sensing.
[118] Fenghua Zhu,et al. A Kind of Novel ITS Based on Space-Air-Ground Big-Data , 2016, IEEE Intelligent Transportation Systems Magazine.
[119] Erik Blasch,et al. Enhanced air operations using JView for an air-ground fused situation awareness udop , 2013, 2013 IEEE/AIAA 32nd Digital Avionics Systems Conference (DASC).
[120] Kyle J. DeMars,et al. An AEGIS-FISST integrated detection and tracking approach to Space Situational Awareness , 2012, 2012 15th International Conference on Information Fusion.
[121] Genshe Chen,et al. A real-time orbit SATellites Uncertainty propagation and visualization system using graphics computing unit and multi-threading processing , 2015, 2015 IEEE/AIAA 34th Digital Avionics Systems Conference (DASC).
[122] Frederica Darema,et al. Grid Computing and Beyond: The Context of Dynamic Data Driven Applications Systems , 2005, Proceedings of the IEEE.
[123] F. Markley,et al. Unscented Filtering for Spacecraft Attitude Estimation , 2003 .
[124] Suman Chakravorty,et al. R-FISST and the Data Association Problem with applications to Space Situational Awareness , 2016 .
[125] Mark L. Pugh,et al. Big data for space situation awareness , 2017, Defense + Security.
[126] Erik Blasch,et al. Covert photo classification by deep convolutional neural networks , 2017, Machine Vision and Applications.
[127] Jun Liu,et al. Quality assessment of remote sensing image fusion using feature-based fourth-order correlation coefficient , 2016 .
[128] Puneet Singla,et al. Conjugate Unscented Transformation Based Orbital State Estimation and Sensor Tasking for Efficient Space Surveillance , 2014 .
[129] Roberto Furfaro,et al. Resident Space Object Characterization and Behavior Understanding via Machine Learning and Ontology-based Bayesian Networks , 2016 .
[130] Haibin Ling,et al. A Container-Based Elastic Cloud Architecture for Pseudo Real-Time Exploitation of Wide Area Motion Imagery (WAMI) Stream , 2016, Journal of Signal Processing Systems.
[131] Florentin Smarandache,et al. Advances and Applications of DSmT for Information Fusion (Collected Works) , 2004 .
[132] Dennis S. Bernstein,et al. Data assimilation and driver estimation for the Global Ionosphere-Thermosphere Model using the Ensemble Adjustment Kalman Filter , 2013 .