Autonomy in use for space situation awareness
暂无分享,去创建一个
Zhonghai Wang | Erik Blasch | Dan Shen | Yu Chen | Genshe Chen | Bin Jia | Khanh Pham | E. Blasch | Genshe Chen | Dan Shen | K. Pham | Yu Chen | B. Jia | Zhonghai Wang
[1] Erik Blasch,et al. A Markov game model for space threat prediction , 2008, SPIE Defense + Commercial Sensing.
[2] Erik Blasch,et al. Combining Convolutional and Recurrent Neural Networks for Human Skin Detection , 2017, IEEE Signal Processing Letters.
[3] David Frederic Crouse,et al. On measurement-based light-time corrections for bistatic orbital debris tracking , 2015, IEEE Transactions on Aerospace and Electronic Systems.
[4] Erik Blasch,et al. Characterizing the semantic information loss between geospatial sensors and geospatial information systems (GIS) , 2011, Defense + Commercial Sensing.
[5] Genshe Chen,et al. On effectiveness of routing algorithms for satellite communication networks , 2013, Defense, Security, and Sensing.
[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. Track splitting technique for the contact lens problem , 2011, 14th International Conference on Information Fusion.
[8] Genshe Chen,et al. Joint transmission power control in transponded SATCOM systems , 2016, MILCOM 2016 - 2016 IEEE Military Communications Conference.
[9] Hui-Min Huang,et al. Autonomy Levels for Unmanned Systems (ALFUS) Framework Volume I: Terminology Version 2.0 , 2004 .
[10] Erik Blasch,et al. Description of the Choquet Integral for tactical knowledge representation , 2010, 2010 13th International Conference on Information Fusion.
[11] Erik Blasch,et al. Methods of AI for Multimodal Sensing and Action for Complex Situations , 2019, AI Mag..
[12] Erik Blasch,et al. Context-Enhanced Information Fusion: Boosting Real-World Performance with Domain Knowledge , 2016 .
[13] Erik Blasch,et al. Context-driven moving vehicle detection in wide area motion imagery , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).
[14] Li Bai,et al. Multiple source data fusion via sparse representation for robust visual tracking , 2011, 14th International Conference on Information Fusion.
[15] Erik Blasch,et al. User information fusion decision making analysis with the C-OODA model , 2011, 14th International Conference on Information Fusion.
[16] Erik Blasch,et al. Moving object detection for vehicle tracking in Wide Area Motion Imagery using 4D filtering , 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).
[17] Erik Blasch,et al. Multi-entity Bayesian network for the handling of uncertainties in SATCOM links , 2015, Defense + Security Symposium.
[18] Erik Blasch,et al. Sensor management for collision alert in orbital object tracking , 2011, Defense + Commercial Sensing.
[19] 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).
[20] Roberto Furfaro,et al. Dynamic Sensor Tasking for Space Situational Awareness via Reinforcement Learning , 2016 .
[21] Daniel E. Hastings,et al. The Space Weather Threat to Situational Awareness, Communications, and Positioning Systems , 2015, IEEE Transactions on Plasma Science.
[22] Chun Yang,et al. Optimal Placement of Heterogeneous Sensors for Targets with Gaussian Priors , 2013, IEEE Transactions on Aerospace and Electronic Systems.
[23] Lauro Snidaro,et al. Context-Enhanced Information Fusion , 2016, Advances in Computer Vision and Pattern Recognition.
[24] Eloi Bosse,et al. High-Level Information Fusion Management and System Design , 2012 .
[25] Erik Blasch,et al. Game theoretic power allocation and waveform selection for satellite communications , 2015, Defense + Security Symposium.
[26] Gang Wang,et al. Network survivability oriented Markov games (NSOMG) in wideband satellite communications , 2014, 2014 IEEE/AIAA 33rd Digital Avionics Systems Conference (DASC).
[27] Aubrey B. Poore,et al. Multiple Hypothesis Tracking (MHT) for Space Surveillance: Results and Simulation Studies , 2013 .
[28] Erik Blasch,et al. Three-dimensional receiver operating characteristic (ROC) trajectory concepts for the evaluation of target recognition algorithms faced with the unknown target detection problem , 1999, Defense, Security, and Sensing.
[29] Zheng Liu,et al. Multispectral Image Fusion and Colorization , 2018 .
[30] Erik Blasch,et al. Revisiting the JDL model for information exploitation , 2013, Proceedings of the 16th International Conference on Information Fusion.
[31] Shaolei Ren,et al. Game Theory for Cyber Security and Privacy , 2017, ACM Comput. Surv..
[32] Alexandru Takacs,et al. Microwave Power Harvesting for Satellite Health Monitoring , 2014, IEEE Transactions on Microwave Theory and Techniques.
[33] Erik Blasch,et al. Uncertainty Considerations for Ontological Decision-Making Support in Avionics Analytics , 2018, 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC).
[34] Manfred Tscheligi,et al. Towards Autonomous Cars: The Effect of Autonomy Levels on Acceptance and User Experience , 2014, AutomotiveUI.
[35] Paulo Cesar G. da Costa,et al. Determining model correctness for situations of belief fusion , 2013, Proceedings of the 16th International Conference on Information Fusion.
[36] Erik Blasch,et al. Issues and Challenges in Situation Assessment (Level 2 Fusion) , 2006, J. Adv. Inf. Fusion.
[37] Erik Blasch,et al. Unmanned vehicles come of age: The DARPA grand challenge , 2006, Computer.
[38] James S. Albus,et al. 4-D/RCS reference model architecture for unmanned ground vehicles , 1999, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).
[39] Erik Blasch,et al. Using maximum consistency context for multiple target association in wide area traffic scenes , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[40] Erik Blasch,et al. Uncertainty representation, quantification and evaluation for data and information fusion , 2015, 2015 18th International Conference on Information Fusion (Fusion).
[41] Erik Blasch,et al. Towards unbiased evaluation of uncertainty reasoning: The URREF ontology , 2012, 2012 15th International Conference on Information Fusion.
[42] Genshe Chen,et al. A trust-based sensor allocation algorithm in cooperative space search problems , 2011, Defense + Commercial Sensing.
[43] Dan Shen,et al. Adaptive Markov Game Theoretic Data Fusion Approach for Cyber Network Defense , 2007, MILCOM 2007 - IEEE Military Communications Conference.
[44] Erik Blasch,et al. Predicted radar/optical feature fusion gains for target identification , 2010, Proceedings of the IEEE 2010 National Aerospace & Electronics Conference.
[45] Mark L. Pugh,et al. Big data for space situation awareness , 2017, Defense + Security.
[46] 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.
[47] Zhonghai Wang,et al. Spatial context for moving vehicle detection in wide area motion imagery with multiple kernel learning , 2013, Defense, Security, and Sensing.
[48] David Crouse,et al. Basic tracking using nonlinear 3D monostatic and bistatic measurements in refractive environments , 2014, IEEE Aerospace and Electronic Systems Magazine.
[49] Genshe Chen,et al. Context aided video-to-text information fusion , 2014, 17th International Conference on Information Fusion (FUSION).
[50] E. Blasch,et al. Sensor Management Fusion Using Operating Conditions , 2008, 2008 IEEE National Aerospace and Electronics Conference.
[51] Li Bai,et al. Evaluation of visual tracking in extremely low frame rate wide area motion imagery , 2011, 14th International Conference on Information Fusion.
[52] C. Yang,et al. Pose angular-aiding for maneuvering target tracking , 2005, 2005 7th International Conference on Information Fusion.
[53] Jing Peng,et al. Regularized Difference Criterion for Computing Discriminants for Dimensionality Reduction , 2017, IEEE Transactions on Aerospace and Electronic Systems.
[54] Erik Blasch,et al. Diffusion-based cooperative space object tracking , 2019 .
[55] Zheng Liu,et al. Statistical comparison of image fusion algorithms: Recommendations , 2017, Inf. Fusion.
[56] James S. Albus,et al. 4D/RCS: a reference model architecture for intelligent unmanned ground vehicles , 2002, SPIE Defense + Commercial Sensing.
[57] Erik Blasch,et al. Level 5: user refinement to aid the fusion process , 2003, SPIE Defense + Commercial Sensing.
[58] Alan N. Steinberg,et al. Context-sensitive data fusion using structural equation modeling , 2009, 2009 12th International Conference on Information Fusion.
[59] Brett D. Nener,et al. Multi-Sensor Space Debris Tracking for Space Situational Awareness With Labeled Random Finite Sets , 2019, IEEE Access.
[60] Zheng Liu,et al. Deep Learning Measures of Effectiveness , 2018, NAECON 2018 - IEEE National Aerospace and Electronics Conference.
[61] Li Bai,et al. Efficient Minimum Error Bounded Particle Resampling L1 Tracker With Occlusion Detection , 2013, IEEE Transactions on Image Processing.
[62] Gang Wang,et al. Performance evaluation of SATCOM link in the presence of radio frequency interference , 2016, 2016 IEEE Aerospace Conference.
[63] Erik Blasch,et al. Pursuit-evasion games with information uncertainties for elusive orbital maneuver and space object tracking , 2015, Defense + Security Symposium.
[64] 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.
[65] Erik Blasch,et al. Game theoretic sensor management for target tracking , 2010, Defense + Commercial Sensing.
[66] 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).
[67] Genshe Chen,et al. A low-cost, near-real-time two-UAS-based UWB emitter monitoring system , 2015, IEEE Aerospace and Electronic Systems Magazine.
[68] Zhonghai Wang,et al. Ground jammer localization with two satellites based on the fusion of multiple parameters , 2011, Defense + Commercial Sensing.
[69] Gang Wang,et al. High-throughput, cyber-secure multiuser superposition covert avionics system , 2018, IEEE Aerospace and Electronic Systems Magazine.
[70] Erik Blasch,et al. Evaluation metrics for the practical application of URREF ontology: An illustration on data criteria , 2017, 2017 20th International Conference on Information Fusion (Fusion).
[71] Erik Blasch,et al. Adaptive context assessment and context management , 2014, 17th International Conference on Information Fusion (FUSION).
[72] Khanh Pham,et al. Space collision threat mitigation , 2014, Defense + Security Symposium.
[73] Erik Blasch,et al. Decisions-to-Data using Level 5 information fusion , 2014, Defense + Security Symposium.
[74] Erik Blasch,et al. Random-point-based filters: analysis and comparison in target tracking , 2015, IEEE Transactions on Aerospace and Electronic Systems.
[75] 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.
[76] John D. Childs,et al. A review of space robotics technologies for on-orbit servicing , 2015 .
[77] Erik Blasch,et al. Sensor, User, Mission (SUM) Resource Management and Their Interaction with Level 2/3 Fusion , 2006, 2006 9th International Conference on Information Fusion.
[78] Genshe Chen,et al. Cooperative space object tracking via multiple space-based visible sensors with communication loss , 2014, 2014 IEEE Aerospace Conference.
[79] John L. Crassidis,et al. Space Object Shape Characterization and Tracking Using Light Curve and Angles Data , 2014 .
[80] Sang Peter Chin. Game-theoretic homological sensor resource management for SSA , 2009, Defense + Commercial Sensing.
[81] Florentin Smarandache,et al. Advances and Applications of DSmT for Information Fusion (Collected Works) , 2004 .
[82] Jason L. Speyer,et al. Health Monitoring of a Satellite System , 2013 .
[83] Erik Blasch,et al. Micro-Doppler radar classification of humans and animals in an operational environment , 2018, Expert Syst. Appl..
[84] Erik Blasch,et al. Covariance Estimation and Gaussianity Assessment for State and Measurement Noise , 2020 .
[85] Lauro Snidaro,et al. Integration of contextual information for tracking refinement , 2011, 14th International Conference on Information Fusion.
[86] Genshe Chen,et al. Multi-Pursuer Multi-Evader Pursuit-Evasion Games with Jamming Confrontation , 2007, J. Aerosp. Comput. Inf. Commun..
[87] Genshe Chen,et al. Information fusion in a cloud computing era: A systems-level perspective , 2014, IEEE Aerospace and Electronic Systems Magazine.
[88] Tian Xin,et al. Secure spectrum-efficient frequency hopping for return link of protected tactical satellite communications , 2016 .
[89] Genshe Chen,et al. A probabilistic situational awareness and reasoning methodology for satellite communications resource management , 2015, 2015 IEEE Aerospace Conference.
[90] Erik Blasch,et al. Probabilistic graphical models for multi-source fusion from text sources , 2015, 2015 IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA).
[91] Alan N. Steinberg,et al. Adaptive context exploitation , 2013, Defense, Security, and Sensing.
[92] E. Blasch,et al. Assembling a distributed fused information-based human-computer cognitive decision making tool , 2000, IEEE Aerospace and Electronic Systems Magazine.
[93] Erik Blasch,et al. Fusion of Tracks with Road Constraints , 2008, J. Adv. Inf. Fusion.
[94] 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).
[95] 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).
[96] F. Markley,et al. Unscented Filtering for Spacecraft Attitude Estimation , 2003 .
[97] Erik Blasch,et al. Overview of contextual tracking approaches in information fusion , 2013, Defense, Security, and Sensing.
[98] Genshe Chen,et al. Vehicle detection in wide area aerial surveillance using Temporal Context , 2013, Proceedings of the 16th International Conference on Information Fusion.
[99] Gang Wang,et al. Hybrid onboard and ground based digital channelizer beam-forming for SATCOM interference mitigation and protection , 2016, SPIE Defense + Security.
[100] Erik Blasch,et al. Comparison of several space target tracking filters , 2009, Defense + Commercial Sensing.
[101] D. Rodrik. Industrial Policy for the Twenty-First Century , 2004 .
[102] E. Blasch,et al. Ten Methods to Fuse GMTI and HRRR Measurements for Joint Tracking and Identification , 2004 .
[103] Genshe Chen,et al. DDDAS for space applications , 2018, Defense + Security.
[104] Erik Blasch,et al. Review of game theory applications for situation awareness , 2015, Defense + Security Symposium.
[105] John L. Crassidis,et al. Fundamentals of Spacecraft Attitude Determination and Control , 2014 .
[106] Erik Blasch,et al. Pursuit-evasion orbital game for satellite interception and collision avoidance , 2011, Defense + Commercial Sensing.
[107] Erik Blasch,et al. Data association through fusion of target track and identification sets , 2000, Proceedings of the Third International Conference on Information Fusion.
[108] Erik Blasch,et al. Applying Aerospace Technologies to Current Issues Using Systems Engineering: 3rd AESS chapter summit , 2013 .
[109] Ba-Ngu Vo,et al. Challenges of multi-target tracking for space situational awareness , 2015, 2015 18th International Conference on Information Fusion (Fusion).
[110] Manoranjan Majji,et al. Analytic characterization of measurement uncertainty and initial orbit determination on orbital element representations , 2014 .
[111] Erik Blasch,et al. Multi-agent Modeling and Analysis for Space Situation Awareness , 2009 .
[112] Chun Yang,et al. Kalman Filtering with Nonlinear State Constraints , 2009 .
[113] Genshe Chen,et al. Exploration of blockchain-enabled decentralized capability-based access control strategy for space situation awareness , 2018, Optical Engineering.
[114] Erik Blasch,et al. Mobile positioning via fusion of mixed signals of opportunity , 2014, IEEE Aerospace and Electronic Systems Magazine.
[115] Gee Wah Ng,et al. High-level Information Fusion: An Overview , 2013, J. Adv. Inf. Fusion.
[116] Erik Blasch,et al. QuEST for Information Fusion in Multimedia Reports , 2014, Int. J. Monit. Surveillance Technol. Res..
[117] 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).
[118] A. Ash,et al. Findings from the UK and Canadian Space Situational Awareness (SSA) Experimentation during the Relocation of SKYNET 5A Satellite , 2016 .
[119] Frank E. Pollick,et al. Language-based multimodal displays for the handover of control in autonomous cars , 2015, AutomotiveUI.
[120] James Llinas,et al. High Level Information Fusion (HLIF): Survey of models, issues, and grand challenges , 2012, IEEE Aerospace and Electronic Systems Magazine.
[121] Barry Smith,et al. The Space Object Ontology , 2016, 2016 19th International Conference on Information Fusion (FUSION).
[122] Genshe Chen,et al. A joint manifold leaning-based framework for heterogeneous upstream data fusion , 2018, Journal of Algorithms & Computational Technology.
[123] Jose B. Cruz,et al. Game Theoretic Approach to Threat Prediction and Situation Awareness , 2006, 2006 9th International Conference on Information Fusion.
[124] Erik Blasch,et al. URREF reliability versus credibility in information fusion (STANAG 2511) , 2013, Proceedings of the 16th International Conference on Information Fusion.
[125] I. Kadar,et al. Resource management coordination with level 2/3 fusion issues and challenges [Panel Report] , 2008, IEEE Aerospace and Electronic Systems Magazine.
[126] Genshe Chen,et al. Scalable sentiment classification for Big Data analysis using Naïve Bayes Classifier , 2013, 2013 IEEE International Conference on Big Data.
[127] Genshe Chen,et al. Tracking evasive objects via a search allocation game , 2010, Proceedings of the 2010 American Control Conference.
[128] 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.
[129] Phillip Jeff. Durst,et al. Levels of autonomy and autonomous system performance assessment for intelligent unmanned systems , 2014 .
[130] Erik Blasch,et al. Services oriented architecture (SOA)-based persistent ISR simulation system , 2010, Defense + Commercial Sensing.
[131] Roberto Furfaro,et al. Space Object classification using deep Convolutional Neural Networks , 2016, 2016 19th International Conference on Information Fusion (FUSION).
[132] Erik Blasch,et al. GRoup IMM Tracking utilizing Track and Identification Fusion , 2001 .
[133] Erik Blasch,et al. Jamming/anti-jamming game with a cognitive jammer in space communication , 2012, Defense + Commercial Sensing.
[134] Erik Blasch,et al. Cyber security with radio frequency interferences mitigation study for satellite systems , 2016, SPIE Defense + Security.
[135] Genshe Chen,et al. Prediction of compression-induced image interpretability degradation , 2018 .
[136] Erik Blasch,et al. Automatic Association of Chats and Video Tracks for Activity Learning and Recognition in Aerial Video Surveillance , 2014, Sensors.
[137] Erik Blasch,et al. Mitigation of weather on channel propagation for satellite communications , 2016, SPIE Defense + Security.
[138] Erik Blasch,et al. Measures of effectiveness for high-level fusion , 2010, 2010 13th International Conference on Information Fusion.
[139] Genshe Chen,et al. An adaptive process-based cloud infrastructure for space situational awareness applications , 2014, Defense + Security Symposium.
[140] K. D. Pham,et al. Space Object Classification Using Fused Features of Time Series Data , 2017 .
[141] Erik Blasch,et al. Models in frequency-hopping-based proactive jamming mitigation for space communication networks , 2012, Defense + Commercial Sensing.