Zeitschriftenartikel zum Thema „Deep space tracking“
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Genova, Antonio, und Flavio Petricca. „Deep-Space Navigation with Intersatellite Radio Tracking“. Journal of Guidance, Control, and Dynamics 44, Nr. 5 (Mai 2021): 1068–79. http://dx.doi.org/10.2514/1.g005610.
Davarian, Faramaz, und Luitjens Popken. „Technical Advances in Deep-Space Communications and Tracking“. Proceedings of the IEEE 95, Nr. 11 (November 2007): 2108–10. http://dx.doi.org/10.1109/jproc.2007.906610.
Bocanegra-Bahamón, T. M., G. Molera Calvés, L. I. Gurvits, D. A. Duev, S. V. Pogrebenko, G. Cimò, D. Dirkx und P. Rosenblatt. „Planetary Radio Interferometry and Doppler Experiment (PRIDE) technique: A test case of the Mars Express Phobos Flyby“. Astronomy & Astrophysics 609 (Januar 2018): A59. http://dx.doi.org/10.1051/0004-6361/201731524.
Gawronski, W. „Predictive Controller and Estimator for NASA Deep Space Network Antennas“. Journal of Dynamic Systems, Measurement, and Control 116, Nr. 2 (01.06.1994): 241–48. http://dx.doi.org/10.1115/1.2899216.
Teitelbaum, Lawrence, Walid Majid, Manuel M. Franco, Daniel J. Hoppe, Shinji Horiuchi und T. Joseph W. Lazio. „Precision Pulsar Timing with NASA's Deep Space Network“. Proceedings of the International Astronomical Union 11, A29B (August 2015): 367–69. http://dx.doi.org/10.1017/s174392131600555x.
Mukai, R., V. A. Vilnrotter, P. Arabshahi und V. Jamnejad. „Adaptive acquisition and tracking for deep space array feed antennas“. IEEE Transactions on Neural Networks 13, Nr. 5 (September 2002): 1149–62. http://dx.doi.org/10.1109/tnn.2002.1031946.
Chen, Yijiang, Hamid Hemmati und Gerry G. Ortiz. „Feasibility of infrared Earth tracking for deep-space optical communications“. Optics Letters 37, Nr. 1 (24.12.2011): 73. http://dx.doi.org/10.1364/ol.37.000073.
Johnston, Mark D., Daniel Tran, Belinda Arroyo, Sugi Sorensen, Peter Tay, Butch Carruth, Adam Coffman und Mike Wallace. „Automated Scheduling for NASA's Deep Space Network“. AI Magazine 35, Nr. 4 (22.12.2014): 7–25. http://dx.doi.org/10.1609/aimag.v35i4.2552.
Yamamoto, Zen-icji, Haruto Hirosawa und Tamiya Nomura. „Dual Speed PN Ranging System for Tracking of Deep Space Probes“. IEEE Transactions on Aerospace and Electronic Systems AES-23, Nr. 4 (Juli 1987): 519–27. http://dx.doi.org/10.1109/taes.1987.310885.
Davarian, Faramaz, und Luitjens Popken. „Special Issue on Technical Advances in Deep-Space Communications and Tracking“. Proceedings of the IEEE 95, Nr. 10 (Oktober 2007): 1898–901. http://dx.doi.org/10.1109/jproc.2007.905981.
Bokulic, R. S., und J. R. Jensen. „Experimental verification of noncoherent Doppler tracking at the Deep Space Network“. IEEE Transactions on Aerospace and Electronic Systems 36, Nr. 4 (2000): 1401–6. http://dx.doi.org/10.1109/7.892689.
Song, Qingping, und Rongke Liu. „Weighted adaptive filtering algorithm for carrier tracking of deep space signal“. Chinese Journal of Aeronautics 28, Nr. 4 (August 2015): 1236–44. http://dx.doi.org/10.1016/j.cja.2015.05.001.
Zhang, J. S., J. Cao, B. Mao und D. Q. Shen. „EXTRACTING 3D SEMANTIC INFORMATION FROM VIDEO SURVEILLANCE SYSTEM USING DEEP LEARNING“. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (30.04.2018): 2257–61. http://dx.doi.org/10.5194/isprs-archives-xlii-3-2257-2018.
Zhai, Chengxing, Quanzhi Ye, Michael Shao, Russell Trahan, Navtej S. Saini, Janice Shen, Thomas A. Prince et al. „Synthetic Tracking Using ZTF Deep Drilling Data Sets“. Publications of the Astronomical Society of the Pacific 132, Nr. 1012 (21.04.2020): 064502. http://dx.doi.org/10.1088/1538-3873/ab828b.
Gawronski, W., J. J. Beech-Brandt, H. G. Ahlstrom und E. Maneri. „Torque-bias profile for improved tracking of the Deep Space Network antennas“. IEEE Antennas and Propagation Magazine 42, Nr. 6 (2000): 35–45. http://dx.doi.org/10.1109/74.894180.
Buu, C. M., F. A. Jenet, J. W. Armstrong, S. W. Asmar, M. Beroiz, T. Cheng und J. A. O'Dea. „A Prototype Radio Transient Survey Instrument for Piggyback Deep Space Network Tracking“. Proceedings of the IEEE 99, Nr. 5 (Mai 2011): 889–94. http://dx.doi.org/10.1109/jproc.2010.2053830.
Miller, James G. „Covariance analysis for deep-space satellites with radar and optical tracking data“. Journal of the Astronautical Sciences 55, Nr. 2 (Juni 2007): 237–43. http://dx.doi.org/10.1007/bf03256522.
Zhang, Rui, Zhaokui Wang und Yulin Zhang. „Astronaut Visual Tracking of Flying Assistant Robot in Space Station Based on Deep Learning and Probabilistic Model“. International Journal of Aerospace Engineering 2018 (12.07.2018): 1–17. http://dx.doi.org/10.1155/2018/6357185.
Subramanyam, A. V. G., D. Siva Reddy, V. K. Hariharan, V. V. Srinivasan und Ajay Chakrabarty. „High Power Combline Filter for Deep Space Applications“. International Journal of Microwave Science and Technology 2014 (14.09.2014): 1–11. http://dx.doi.org/10.1155/2014/396494.
Chen, Can, Luca Zanotti Fragonara und Antonios Tsourdos. „Relation3DMOT: Exploiting Deep Affinity for 3D Multi-Object Tracking from View Aggregation“. Sensors 21, Nr. 6 (17.03.2021): 2113. http://dx.doi.org/10.3390/s21062113.
Cardarilli, Gian Carlo, Luca Di Nunzio, Rocco Fazzolari, Daniele Giardino, Marco Matta, Marco Re, Luciano Iess et al. „Hardware Prototyping and Validation of a W-ΔDOR Digital Signal Processor“. Applied Sciences 9, Nr. 14 (20.07.2019): 2909. http://dx.doi.org/10.3390/app9142909.
Denil, Misha, Loris Bazzani, Hugo Larochelle und Nando de Freitas. „Learning Where to Attend with Deep Architectures for Image Tracking“. Neural Computation 24, Nr. 8 (August 2012): 2151–84. http://dx.doi.org/10.1162/neco_a_00312.
Yang, Guosheng, und Qisheng Wei. „Visual Object Multimodality Tracking Based on Correlation Filters for Edge Computing“. Security and Communication Networks 2020 (10.12.2020): 1–13. http://dx.doi.org/10.1155/2020/8891035.
Luo, Cui Hua, Hai Feng Qi und Cai Wen Ma. „Linearization of Coupled Pointing and Tracking Dynamical Equations“. Advanced Materials Research 971-973 (Juni 2014): 1637–42. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.1637.
Gard, N. A., J. Chen, P. Tang und A. Yilmaz. „DEEP LEARNING AND ANTHROPOMETRIC PLANE BASED WORKFLOW MONITORING BY DETECTING AND TRACKING WORKERS“. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1 (26.09.2018): 149–54. http://dx.doi.org/10.5194/isprs-archives-xlii-1-149-2018.
Li, Shuang, Ruikun Lu, Liu Zhang und Yuming Peng. „Image Processing Algorithms For Deep-Space Autonomous Optical Navigation“. Journal of Navigation 66, Nr. 4 (22.04.2013): 605–23. http://dx.doi.org/10.1017/s0373463313000131.
Hossain und Lee. „Deep Learning-Based Real-Time Multiple-Object Detection and Tracking from Aerial Imagery via a Flying Robot with GPU-Based Embedded Devices“. Sensors 19, Nr. 15 (31.07.2019): 3371. http://dx.doi.org/10.3390/s19153371.
Jiang, Haodi, Jiasheng Wang, Chang Liu, Ju Jing, Hao Liu, Jason T. L. Wang und Haimin Wang. „Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning“. Astrophysical Journal Supplement Series 250, Nr. 1 (26.08.2020): 5. http://dx.doi.org/10.3847/1538-4365/aba4aa.
Lowe, S. T., und R. N. Treuhaft. „Applications of Few-Hundred Microarcsecond VLBI Astrometry: Planetary Relativistic Deflection, PPN Gamma Determination and Deep-Space Tracking“. Symposium - International Astronomical Union 156 (1993): 145–49. http://dx.doi.org/10.1017/s0074180900173127.
Paidi, Vijay, Hasan Fleyeh, Johan Håkansson und Roger G. Nyberg. „Tracking Vehicle Cruising in an Open Parking Lot Using Deep Learning and Kalman Filter“. Journal of Advanced Transportation 2021 (23.08.2021): 1–12. http://dx.doi.org/10.1155/2021/1812647.
Mariotti, G., und P. Tortora. „Experimental validation of a dual uplink multifrequency dispersive noise calibration scheme for Deep Space tracking“. Radio Science 48, Nr. 2 (März 2013): 111–17. http://dx.doi.org/10.1002/rds.20024.
Li, Yidi, Hong Liu, Bing Yang, Runwei Ding und Yang Chen. „Deep Metric Learning-Assisted 3D Audio-Visual Speaker Tracking via Two-Layer Particle Filter“. Complexity 2020 (31.08.2020): 1–8. http://dx.doi.org/10.1155/2020/3764309.
Mehmood, Atif, Inam ul Hasan Shaikh und Ahsan Ali. „Application of Deep Reinforcement Learning for Tracking Control of 3WD Omnidirectional Mobile Robot“. Information Technology and Control 50, Nr. 3 (24.09.2021): 507–21. http://dx.doi.org/10.5755/j01.itc.50.3.25979.
Chang, Oscar, Patricia Constante, Andrés Gordon und Marco Singaña. „A Novel Deep Neural Network that Uses Space-Time Features for Tracking and Recognizing a Moving Object“. Journal of Artificial Intelligence and Soft Computing Research 7, Nr. 2 (01.04.2017): 125–36. http://dx.doi.org/10.1515/jaiscr-2017-0009.
Davarian, Faramaz, Douglas Abraham, Matt Angert, John Baker, Jay Gao, Norman Lay und Jeffrey Stuart. „Improving Small Satellite Communications and Tracking in Deep Space—A Review of the Existing Systems and Technologies With Recommendations for Improvement. Part III: The Deep Space Network“. IEEE Aerospace and Electronic Systems Magazine 35, Nr. 8 (01.08.2020): 4–13. http://dx.doi.org/10.1109/maes.2020.2992211.
Cannon, W. H. „Quantum mechanical uncertainty limitations on deep space navigation by Doppler tracking and very long baseline interferometry“. Radio Science 25, Nr. 2 (März 1990): 97–100. http://dx.doi.org/10.1029/rs025i002p00097.
Lee, Eunji, Youngkwang Kim, Minsik Kim und Sang-Young Park. „Development, Demonstration and Validation of the Deep Space Orbit Determination Software Using Lunar Prospector Tracking Data“. Journal of Astronomy and Space Sciences 34, Nr. 3 (15.09.2017): 213–23. http://dx.doi.org/10.5140/jass.2017.34.3.213.
Lim, Seongmin, Jin-Hyung Kim, Won-Sub Choi und Hae-Dong Kim. „A Study on the Deep Neural Network based Recognition Model for Space Debris Vision Tracking System“. Journal of the Korean Society for Aeronautical & Space Sciences 45, Nr. 9 (30.09.2017): 794–806. http://dx.doi.org/10.5139/jksas.2017.45.9.794.
Lau, Kam Y., und George F. Lutes. „Ultra-stable RF-over-fiber transport enables NASA ground-based deep space tracking antenna arrays and space-borne earth mapping radar“. IEEE Aerospace and Electronic Systems Magazine 29, Nr. 9 (September 2014): 34–41. http://dx.doi.org/10.1109/maes.2014.140080.
Yang, Senlin, und Xin Chong. „Study on Portrait Tracking Technology of Deep Feature Learning in Monitoring Image Acquisition“. Journal of Imaging Science and Technology 65, Nr. 4 (01.07.2021): 40502–1. http://dx.doi.org/10.2352/j.imagingsci.technol.2021.65.4.040502.
BERTOLAMI, ORFEU, FREDERICO FRANCISCO, PAULO J. S. GIL und JORGE PÁRAMOS. „TESTING THE FLYBY ANOMALY WITH THE GNSS CONSTELLATION“. International Journal of Modern Physics D 21, Nr. 04 (April 2012): 1250035. http://dx.doi.org/10.1142/s0218271812500356.
JOHANN, ULRICH A. „CONCEPT CONSIDERATIONS FOR A DEEP SPACE GRAVITY PROBE BASED ON LASER-CONTROLLED FREE-FLYING REFERENCE MASSES“. International Journal of Modern Physics D 16, Nr. 12a (Dezember 2007): 2297–307. http://dx.doi.org/10.1142/s0218271807011450.
Xia, Chunlei, Longwen Fu, Zuoyi Liu, Hui Liu, Lingxin Chen und Yuedan Liu. „Aquatic Toxic Analysis by Monitoring Fish Behavior Using Computer Vision: A Recent Progress“. Journal of Toxicology 2018 (03.04.2018): 1–11. http://dx.doi.org/10.1155/2018/2591924.
Zhu, Kun, Xiaodong Zhang, Guanzhou Chen, Xiaoliang Tan, Puyun Liao, Hongyu Wu, Xiujuan Cui, Yinan Zuo und Zhiyong Lv. „Single Object Tracking in Satellite Videos: Deep Siamese Network Incorporating an Interframe Difference Centroid Inertia Motion Model“. Remote Sensing 13, Nr. 7 (29.03.2021): 1298. http://dx.doi.org/10.3390/rs13071298.
Tang Cong, 唐. 聪., 凌永顺 Ling Yongshun, 杨. 华. Yang Hua, 杨. 星. Yang Xing und 郑. 超. Zheng Chao. „A visual tracking method via object detection based on deep learning“. Infrared and Laser Engineering 47, Nr. 5 (2018): 526001. http://dx.doi.org/10.3788/irla201847.0526001.
Hashmi, Ali J., Ali A. Eftekhar, Ali Adibi und Farid Amoozegar. „Statistical analysis and performance evaluation of optical array receivers for deep-space optical communications under random tracking errors“. Physical Communication 31 (Dezember 2018): 230–38. http://dx.doi.org/10.1016/j.phycom.2018.03.010.
Guo Qiang, 郭. 强., 芦晓红 Lu Xiaohong, 谢英红 Xie Yinghong und 孙. 鹏. Sun Peng. „Efficient visual target tracking algorithm based on deep spectral convolutional neural networks“. Infrared and Laser Engineering 47, Nr. 6 (2018): 626005. http://dx.doi.org/10.3788/irla201847.0626005.
Welch, Bryan W. „Regionalized Lunar South Pole Surface Navigation System Analysis“. International Journal of Navigation and Observation 2008 (09.04.2008): 1–7. http://dx.doi.org/10.1155/2008/435961.
Gochoo, Munkhjargal, Syeda Amna Rizwan, Yazeed Yasin Ghadi, Ahmad Jalal und Kibum Kim. „A Systematic Deep Learning Based Overhead Tracking and Counting System Using RGB-D Remote Cameras“. Applied Sciences 11, Nr. 12 (14.06.2021): 5503. http://dx.doi.org/10.3390/app11125503.
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