Thematische Bibliographien / Satellite Intelligence

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Zeitschriftenartikel
Dissertationen
Bücher
Buchteile
Konferenzberichte
Berichte der Organisationen

Auswahl der wissenschaftlichen Literatur zum Thema „Satellite Intelligence“

Autor: Grafiati

Veröffentlicht am 7. Juni 2025

Zuletzt aktualisiert am 2. August 2025

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Zeitschriftenartikel zum Thema "Satellite Intelligence"

Huseynov, Mugabil, and Elshan Hashimov. "Imaginary Intelligence Via Satellites." Modeling Control and Information Technologies, no. 6 (November 22, 2023): 57–60. http://dx.doi.org/10.31713/mcit.2023.014.

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This article gives basic information about all types of satellites. The types of satellites reveal the functions, purposes and applications. Information is provided on the sections required to use a satellite. The features of reconnaissance satellites are characterized. Analytical factors of satellite imagery, their pros and cons were compared. The role and functions of satellite imagery in current and probable future wars are declared.

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Haloho, Luwis Suryani, and Asep Adang Supriyadi. "Utilization of satellite technology in communication systems, disaster monitoring, border surveillance, and military intelligence: a literature review." Remote Sensing Technology in Defense and Environment 1, no. 1 (2024): 36–44. http://dx.doi.org/10.61511/rstde.v1i1.2024.842.

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Background: The utilization of satellite technology has become a critical aspect in many fields, including communications, disaster monitoring, border surveillance, and military intelligence. The ability of satellites to provide real-time, high-resolution data offers significant benefits in supporting these activities. This study aims to explore the contributions and benefits of satellites in this context through a literature review approach. Methods: This study used the literature review method, which involves collecting, analyzing, and synthesizing relevant scientific studies. The literature

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Kim, Dongwoo, and Taejin Chung. "Design of an Elliptical Orbit for High-Resolution Optical Observation at a Very Low Altitude over the Korean Peninsula." Journal of Astronomy and Space Sciences 40, no. 1 (2023): 35–44. http://dx.doi.org/10.5140/jass.2023.40.1.35.

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Surveillance and reconnaissance intelligence in the space domain will become increasingly important in future battlefield environments. Moreover, to assimilate the military provocations and trends of hostile countries, imagery intelligence of the highest possible resolution is required. There are many methods for improving the resolution of optical satellites when observing the ground, such as designing satellite optical systems with a larger diameter and lowering the operating altitude. In this paper, we propose a method for improving ground observation resolution by using an optical system f

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Chandru, P. A., Arianne Gutierrez, Cynthia Valenzuela, Poorvi Shetty, and Shristy Kumar. "Review on Semi-Autonomous Robots for Satellite Maintenance and Refueling." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 11 (2024): 1–8. http://dx.doi.org/10.55041/ijsrem38888.

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As the number of satellites in Earth's orbit continues to grow, the need for efficient satellite servicing solutions becomes increasingly pressing. Currently, about 9,900 satellites are in orbit, with over 3,300 of these being inactive, posing a threat as space debris. Traditional methods for satellite maintenance and refueling are complex, expensive, and risky. The development of semi-autonomous robots, powered by advancements in artificial intelligence and robotics, presents a more efficient alternative. These robots can perform complex maintenance and refueling tasks with minimal human inte

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Wang, Shuai, Ruoke Wu, Yizhi Jiang, et al. "A Graph Convolutional Network Framework for Area Attention and Tracking Compensation of In-Orbit Satellite." Applied Sciences 15, no. 12 (2025): 6742. https://doi.org/10.3390/app15126742.

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In order to solve the problems of low tracking accuracy of in-orbit satellites by ground stations and slow processing speed of satellite target tracking images, this paper proposes an orbital satellite regional tracking and prediction model based on graph convolutional networks (GCNs). By performing superpixel segmentation on the satellite tracking image information, we constructed an intra-frame superpixel seed graph node network, enabling the conversion of spatial optical image information into artificial-intelligence-based graph feature data. On this basis, we propose and build an in-orbit

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Verma, Dr Charu Vaibhav. "BHOO-MI – BHOONIDHI META INTELLIGENCE." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 06 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem35917.

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Presently satellite data products are supplied to the users in various formats and with required meta data associated to it. In general, this Meta data contains the latitude/longitude information of the area covered. The utilization of satellite imagery in diverse fields necessities efficient methods to add value to the core images. In this research work, we designed a comprehensive methodology to design a system which provides the intelligence to the basic data product by adding various geographic features over that area. Both natural and manmade geographic features were considered in study.

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Zhang, Pengfei. "Research on satellite selection algorithm in ship positioning based on both geometry and geometric dilution of precision contribution." International Journal of Advanced Robotic Systems 16, no. 1 (2019): 172988141983024. http://dx.doi.org/10.1177/1729881419830246.

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With the networking of four Global Navigation Satellite Systems, the combination of multi-constellation applications has become an inevitable trend, and there will be more and more visible satellites that can be participated in ship positioning. However, the computational complexity increases sharply, which greatly improves the load capacity of the receiver’s data processor and reduces the output frequency of the positioning result. To achieve the balance between positioning accuracy and computational complexity, a new fast satellite selection algorithm based on both of geometry and geometric

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Makare, Isha Nitin. "Bhoonidhi: Transforming Satellite Data into Smart Intelligence." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 5229–31. https://doi.org/10.22214/ijraset.2025.71457.

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The rapid development of satellite imaging technology has reshaped a variety of fields, including urban planning and disaster management. Despite the availability of high-resolution imagery, traditional satellite datasets primarily offer basic geographic coordinates, failing to provide meaningful insights into the geographic context. It is difficult for planners, researchers, and decision-makers to extract actionable intelligence from raw imagery due to this gap. The Bhoonidhi MetaIntelligence system was created to add enriched metadata to satellite data. By integrating natural and manmade geo

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Thosar, Rutuja S. "REVIEW ON SATELLITE COMMUNICATION." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem33919.

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Satellite communication, an unprecedented invention, has completely altered global connectivity, serving as a backbone various sectors, such as like telecommunication, broadcasting, navigation, and remote sensing. The abstract will delineate the intriguing history of satellite communications and satellite orbits. Additionally, the abstract provides, when using artificial intelligence, it can potentially offer opportunities for enhanced performances, efficiency, and adaptability. In this review paper, we have discussing the numerous challenges facing satellite communication. The complexities su

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Chen, Hao, Shu Yang, Jun Li, and Ning Jing. "Exact and Heuristic Methods for Observing Task-Oriented Satellite Cluster Agent Team Formation." Mathematical Problems in Engineering 2018 (August 6, 2018): 1–23. http://dx.doi.org/10.1155/2018/2103625.

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With the development of aerospace science and technology, Earth Observation Satellite cluster which consists of heterogeneous satellites with many kinds of payloads appears gradually. Compared with the traditional satellite systems, satellite cluster has some particular characteristics, such as large-scale, heterogeneous satellite platforms, various payloads, and the capacity of performing all the observation tasks. How to select a subset from satellite cluster to perform all observation tasks effectively with low cost is a new challenge arousing in the field of aerospace resource scheduling.

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Dissertationen zum Thema "Satellite Intelligence"

Anderson, Jason Lionel. "Autonomous Satellite Operations For CubeSat Satellites." DigitalCommons@CalPoly, 2010. https://digitalcommons.calpoly.edu/theses/256.

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In the world of educational satellites, student teams manually conduct operations daily, sending commands and collecting downlinked data. Educational satellites typically travel in a Low Earth Orbit allowing line of sight communication for approximately thirty minutes each day. This is manageable for student teams as the required manpower is minimal. The international Global Educational Network for Satellite Operations (GENSO), however, promises satellite contact upwards of sixteen hours per day by connecting earth stations all over the world through the Internet. This dramatic increase in

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Maillard, Adrien. "Flexible Scheduling for Agile Earth Observing Satellites." Thesis, Toulouse, ISAE, 2015. http://www.theses.fr/2015ESAE0024/document.

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Les satellites d’observation de la Terre sont des senseurs qui acquièrent des données, les compressent et les mémorisent à bord, puis les vident vers le sol. Des incertitudes rendent la planification des activités au sol de plus en plus discutable car la planification est alors pessimiste et les plans largement sous-optimaux. Cette thèse détaille la conception d'une planification mixte qui permet de profiter de la réalisation des paramètres incertains à bord tout en préservant la prévisibilité de l'exécution pour les opérateurs au sol. Notre première contribution concerne le problème de planif

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Pazzani, Michael, and Anne Brindle. "An Expert System for Satellite Control." International Foundation for Telemetering, 1985. http://hdl.handle.net/10150/615592.

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International Telemetering Conference Proceedings / October 28-31, 1985 / Riviera Hotel, Las Vegas, Nevada<br>As on-board satellite systems develop increased sophistication and autonomous capabilities, failures become fewer, but the diagnosis of the remaining failures becomes more complex. In addition, autonomy requirements for space vehicles are being issued along with requirements for reduced staffing of ground stations. Thus successful groundbased fault handling in the future will require greatly increased automation of fault detection and diagnosis. This paper investigates the use of an ex

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FERUGLIO, LORENZO. "Artificial Intelligence for Small Satellites Mission Autonomy." Doctoral thesis, Politecnico di Torino, 2017. http://hdl.handle.net/11583/2694565.

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Space mission engineering has always been recognized as a very challenging and innovative branch of engineering: since the beginning of the space race, numerous milestones, key successes and failures, improvements, and connections with other engineering domains have been reached. Despite its relative young age, space engineering discipline has not gone through homogeneous times: alternation of leading nations, shifts in public and private interests, allocations of resources to different domains and goals are all examples of an intrinsic dynamism that characterized this discipline. The dynamism

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Hammouch, Hajar. "Application of advanced artificial intelligence models to manage irrigation using sensor data and satellite images." Electronic Thesis or Diss., Institut polytechnique de Paris, 2025. http://www.theses.fr/2025IPPAS005.

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Dans cette thèse, nous abordons les défis urgents de la gestion de l'eau par l'analyse d'images agricoles et l'étude de modèles d'intelligence artificielle (IA) pour optimiser l'agriculture de précision. Étant donné la menace croissante du changement climatique et la crise mondiale de l'eau, nous avons effectué une étude systématique des technologies d'irrigation intelligente, avec une emphase particulière sur les capteurs IoT, la télédétection (RS: Remote Sensing) et les méthodes d'IA. Cet examen exhaustif met non seulement en évidence les approches existantes, mais ouvre également la voie à

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Myrick, Kenneth B. "Coastal bathymetry using satellite observation in support of intelligence preparation of the environment." Thesis, Monterey, California. Naval Postgraduate School, 2011. http://hdl.handle.net/10945/5519.

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Approved for public release; distribution is unlimited.<br>Subaqueous beach profiles are obtained for littoral regions near Camp Pendleton, CA, using observations of wave motion. Imagery was acquired from WorldView2 Satellite on 24 March 2010. Two sequential images taken 10 seconds apart are used for the analyses herein. Water depths were calculated using linear dispersion relationship for surface gravity waves. Depth profiles were established from shoreline out to 1 kilometer offshore and depths of up to 15 meters. Comparisons with USGS DEM values show agreement within five percent in the sur

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Pierre, Antoine. "Rendez-vous de satellite autonome autour de Mars par la logique floue." Mémoire, (Accès réservé UdeS) Droit de reproduction illimitée uniquement pour la création de matériel didactique, 2006. http://savoirs.usherbrooke.ca/handle/11143/1407.

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Heberger, Matthew. "Improved observation of the global water cycle with satellite remote sensing and neural network modeling." Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS012.

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La télédétection par satellite est couramment utilisée pour observer le cycle hydrologique à des échelles spatiales allant des bassins fluviaux au globe terrestre. Pourtant, il reste difficile d'obtenir un bilan hydrique équilibré en utilisant des données de télédétection, ce qui met en évidence les erreurs et les incertitudes des données d'observation de la Terre. Cette recherche visait à améliorer les estimations des précipitations, de l'évapotranspiration, de l'écoulement, et du changement du stockage total de l'eau à l'échelle mondiale en utilisant une combinaison de méthodes analytiques (

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Bellet, Valentine. "Intelligence artificielle appliquée aux séries temporelles d'images satellites pour la surveillance des écosystèmes." Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSES013.

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Dans un contexte de changement climatique, la surveillance des écosystèmes est une mission essentielle. En effet, cela permet de mieux comprendre les changements qui peuvent affecter les écosystèmes mais aussi de prendre des décisions en conséquence afin de préserver les générations actuelles et futures. Les cartes d'occupations du sol sont un outil indispensable en fournissant des informations sur les différents types de couverture physique de la surface de la Terre (e.g. forêts, prairies, terres agricoles). Actuellement, un nombre accru de missions satellites fournissent un volume important

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Stroozas, B. A., D. Biroscak, M. Eckert, et al. "The NASA EUVE Satellite in Transition: From Staffed to Autonomous Science Payload Operations." International Foundation for Telemetering, 1996. http://hdl.handle.net/10150/611421.

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International Telemetering Conference Proceedings / October 28-31, 1996 / Town and Country Hotel and Convention Center, San Diego, California<br>The science payload for NASA's Extreme Ultraviolet Explorer (EUVE) satellite is controlled from the EUVE Science Operations Center (ESOC) at the Center for EUV Astrophysics (CEA), University of California, Berkeley (UCB). The ESOC is in the process of a transition from a single staffed shift to an autonomous, zero-shift, "lights out" science payload operations scenario (a.k.a., 1:0). The purpose of the 1:0 transition is to automate all of the remainin

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Bücher zum Thema "Satellite Intelligence"

Desmond, Ball. China's Signals Intelligence (SIGINT): Satellite programs. Strategic and Defence Studies Centre, 2003.

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Desmond, Ball. Soviet signals intelligence (SIGINT)--intercepting satellite communications. Strategic and Defence Studies Centre, Research School of Pacific Studies, The Australian National University, 1989.

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Hemanth, D. Jude, ed. Artificial Intelligence Techniques for Satellite Image Analysis. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-24178-0.

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Wendy, Seider, and Goddard Space Flight Center, eds. Declassified Intelligence Satellite Photography (DISP) coverage of Antarctica. National Aeronautics and Space Administration, Goddard Space Flight Center, 1998.

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La Jolla Museum of Contemporary Art. and MIT List Visual Arts Center., eds. Satellite intelligence: New art from Boston and San Diego. La Jolla Museum of Contemporary Art, 1990.

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Kumar, Sumit, Raj Setia, and Kuldeep Singh, eds. Artificial Intelligence and Machine Learning in Satellite Data Processing and Services. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7698-8.

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Subramanian, Thiruselvan, Archana Dhyani, Adarsh Kumar, and Sukhpal Singh Gill. Artificial Intelligence, Machine Learning and Blockchain in Quantum Satellite, Drone and Network. CRC Press, 2022. http://dx.doi.org/10.1201/9781003250357.

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United States. Central Intelligence Agency, ed. CORONA: AMERICA'S FIRST SATELLITE PROGRAM... CIA HISTORY STAFF CENTER FOR THE STUDY OF INTELLIGENCE. s.n., 1999.

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Pressel, Philip. Meeting the challenge: The Hexagon KH-9 reconnaissance satellite. Edited by Allen Ned. Published by American Institute of Aeronautics and Astronautics, Inc., 2013.

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Dehqanzada, Yahya A. Secrets for sale: How commercial satellite imagery will change the world. Carnegie Endowment for International Peace, 2000.

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Buchteile zum Thema "Satellite Intelligence"

Fowler, Martin J. F. "Declassified Intelligence Satellite Photographs." In Archaeology from Historical Aerial and Satellite Archives. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4505-0_4.

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D’Angelo, G., J. P. Mediano-Alameda, and R. Andreotti. "Satellite IoT for TT&C and Satellite Identification." In Studies in Computational Intelligence. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-25755-1_5.

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Wang, Chong, Qing Xu, Xiaofeng Li, Gang Zheng, and Bin Liu. "Tropical Cyclone Monitoring Based on Geostationary Satellite Imagery." In Artificial Intelligence Oceanography. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6375-9_8.

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Liu, Shaohua, Hongkun Dou, Hongjue Li, and Yue Deng. "An Optical Satellite Controller Based on Diffractive Deep Neural Network." In Artificial Intelligence. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-20500-2_4.

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Narasimharao, Jonnadula, P. Priyanka Chowdary, Avala Raji Reddy, G. Swathi, B. P. Deepak Kumar, and Sree Saranya Batchu. "Satellite Ortho Image Mosaic Process Quality Verification." In Evolution in Computational Intelligence. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6702-5_26.

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Dakir, Asmae, Fatimazahra Barramou, and Omar Bachir Alami. "Opportunities for Artificial Intelligence in Precision Agriculture Using Satellite Remote Sensing." In Geospatial Intelligence. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80458-9_8.

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Kumar, Ajay, B. S. Tewari, and Kamal Pandey. "Quantum Computing Application for Satellites and Satellite Image Processing." In Artificial Intelligence, Machine Learning and Blockchain in Quantum Satellite, Drone and Network. CRC Press, 2022. http://dx.doi.org/10.1201/9781003250357-5.

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Ramadan, Alaa H., Aboul Ella Hassanien, Hesham A. Hefny, and Lamiaa F. Ibrahim. "Tensor-Based Anomaly Detection for Satellite Telemetry Data." In Studies in Computational Intelligence. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20212-5_1.

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Rath, Mamata, and Sushruta Mishra. "Security Approaches in Machine Learning for Satellite Communication." In Studies in Computational Intelligence. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20212-5_10.

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Laban, Noureldin, Bassam Abdellatif, Hala M. Ebied, Howida A. Shedeed, and Mohamed F. Tolba. "Multiscale Satellite Image Classification Using Deep Learning Approach." In Studies in Computational Intelligence. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20212-5_9.

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Konferenzberichte zum Thema "Satellite Intelligence"

Sowmyadevi, S., and Manikandan R. "Improving Satellite Imagery using Artificial Intelligence." In 2025 5th International Conference on Pervasive Computing and Social Networking (ICPCSN). IEEE, 2025. https://doi.org/10.1109/icpcsn65854.2025.11035597.

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De Canio, Gabriele, Alisa Krstova, Florian Hegwein, et al. "Artificial Intelligence-Based Short-Term Satellite Health Forecasting." In IAF Space Operations Symposium, Held at the 75th International Astronautical Congress (IAC 2024). International Astronautical Federation (IAF), 2024. https://doi.org/10.52202/078367-0069.

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Jaspin, K., K. Yogasundar, and S. Shree Vishnu. "Satellite Images Classification by Using Artificial Intelligence Techniques." In 2024 International Conference on Innovations and Challenges in Emerging Technologies (ICICET). IEEE, 2024. http://dx.doi.org/10.1109/icicet59348.2024.10616283.

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Han, Xiaoyu. "Artificial Intelligence-based Interference Signal Recognition for Satellite Communications." In 2024 International Conference on Advanced Control Systems and Automation Technologies (ACSAT). IEEE, 2024. https://doi.org/10.1109/acsat63853.2024.10823708.

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Zhang, Bingcai. "Transform low resolution, low-quality satellite images into high-resolution, high-quality satellite images." In Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VII, edited by Peter J. Schwartz and Myron E. Hohil. SPIE, 2025. https://doi.org/10.1117/12.3052427.

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Bortolotti, Sigfrido Valentino, Marco Eugeni, Paolo Gaudenzi, Filippo Bianchini, and Guido Volpi. "Study of Autonomous Satellite Planning Methods using Artificial Intelligence Techniques." In IAF Earth Observation Symposium, Held at the 75th International Astronautical Congress (IAC 2024). International Astronautical Federation (IAF), 2024. https://doi.org/10.52202/078362-0149.

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Kouhalvandi, Lida, Ladislau Matekovits, Mohammad Alibakhshikenari, and Mehmet Atif Kasim. "Artificial Intelligence for 3-D Satellite Networks: A Comprehensive Overview." In 2024 Advanced Topics on Measurement and Simulation (ATOMS). IEEE, 2024. https://doi.org/10.1109/atoms60779.2024.10921550.

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Kandimalla, Gopi, Ravula Manisha, M. Sai Teja, and Narra Nikhil. "NASA’s Satellite-Powered Air Quality Forecasting." In 2025 3rd International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS). IEEE, 2025. https://doi.org/10.1109/icssas66150.2025.11081087.

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Chapman, Matthew, Andrew Tewkesbury, Doreen S. Boyd, Boguslaw Obara, and Deepayan Bhowmik. "Satellite image manipulation detection in generative AI era." In Artificial Intelligence for Security and Defence Applications II, edited by Henri Bouma, Yitzhak Yitzhaky, Radhakrishna Prabhu, and Hugo J. Kuijf. SPIE, 2024. http://dx.doi.org/10.1117/12.3033974.

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Yu, Hongbo, Yan Li, Yue Yu, and Songrui Li. "Design of maize disease monitoring system based on Beidou satellite positioning." In 2024 6th International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI). IEEE, 2024. https://doi.org/10.1109/ricai64321.2024.10911863.

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Berichte der Organisationen zum Thema "Satellite Intelligence"

Hofer, Martin, Tomas Sako, Arturo Martinez Jr., et al. Applying Artificial Intelligence on Satellite Imagery to Compile Granular Poverty Statistics. Asian Development Bank, 2020. http://dx.doi.org/10.22617/wps200432-2.

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This study outlines a computational framework to enhance the spatial granularity of government-published poverty estimates, citing data from the Philippines and Thailand. Computer vision techniques were applied on publicly available medium resolution satellite imagery, household surveys, and census data from the two countries. The results suggest that even using publicly accessible satellite imagery, predictions generally aligned with the distributional structure of government-published poverty estimates after calibration. The study further examines the robustness of the resulting estimates to

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Szép, Viktor, Ester Sabatino, and Ramses Wessel. Developing Assessment Criteria for Security and Intelligence Cooperation in the EU. EsadeGeo. Center for Global Economy and Geopolitics, 2022. https://doi.org/10.56269/202206vs.

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This working paper proposes a set of assessment criteria for security and intelligence cooperation at the EU level and presents the limits that prevent more effective cooperation in this field. The research team conducted interviews with experts and officials involved in this work, which lends the report rare insights into the area of security and intelligence cooperation. The working paper first provides a summary of the current institutional architecture and presents an analysis of the main bodies involved in the provision of analysis, early warning and situational awareness at the EU level,

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Thegeya, Aaron, Thomas Mitterling, Arturo Martinez Jr, Joseph Albert Niño Bulan, Ron Lester Durante, and Jayzon Mag-atas. Application of Machine Learning Algorithms on Satellite Imagery for Road Quality Monitoring: An Alternative Approach to Road Quality Surveys. Asian Development Bank, 2022. http://dx.doi.org/10.22617/wps220587-2.

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This paper examines the feasibility of using satellite imagery and artificial intelligence to develop an efficient and cost-effective way to determine and predict the condition of roads in the Asia and Pacific region. The paper notes that collecting information on road quality is difficult, particularly in harder to reach middle- and low-income areas, and explains why this method offers an alternative. It shows how the study’s preliminary algorithm was created using satellite imagery and existing road roughness data from the Philippines. It assesses the accuracy rate and finds it sufficient fo

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Temple, Dorota S., Jason S. Polly, Meghan Hegarty-Craver, et al. The View From Above: Satellites Inform Decision-Making for Food Security. RTI Press, 2019. http://dx.doi.org/10.3768/rtipress.2019.rb.0021.1908.

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Despite notable progress in reducing global poverty and hunger in recent decades, about one out of nine people in the world suffers from hunger and malnutrition. Stakeholders charged with making decisions pertaining to agricultural production, development priorities, and policies at a region-to-country scale require quantitative and up-to-date information on the types of crops being cultivated, the acreage under cultivation, and crop yields. However, many low- and middle-income countries lack the infrastructure and resources for frequent and extensive agricultural field surveys to obtain this

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Down, Murray. PR686-203903-R02 Ongoing InSAR Geohazard Monitoring of Pipeline Right-of Ways in the Appalachian Mountains. Pipeline Research Council International, Inc. (PRCI), 2021. http://dx.doi.org/10.55274/r0012178.

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Ground displacement along pipeline corridors has the potential to compromise pipeline integrity. The Appalachian Mountain region is almost entirely classed as high landslide susceptibility by the United States Geological Survey (USGS) and crossed by numerous transmission pipelines and gathering lines. In phase I of this research project, 3vGeomatics successfully demonstrated a proof of concept on the effectiveness, reliability, and precision of using L-band ( ) SAR satellites for InSAR displacement monitoring of vegetated areas. The second phase of this project improved operational monitoring

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Goldfarb, Danielle. Can Real-Time Metrics Fill China’s Data Gap? Balsillie School of International Affairs, 2025. https://doi.org/10.51644/bcs005.

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After Chinese authorities abruptly reversed the country’s zero-COVID policy in 2022, global policymakers needed a clear and timely picture of the economic and health fallout. China’s economy is the world’s second largest and the country has deep global links, so an accurate picture of its trajectory mattered for global health, growth and inflation. Getting a solid read was a challenge, however, since official health and economic data not only were not timely, but were widely viewed as unreliable. There are now vast amounts and varied types of digital data available, from satellite images to so

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Krelina, Michal. Military and Security Dimensions of Quantum Technologies. Stockholm International Peace Research Institute, 2025. https://doi.org/10.55163/zvtl1529.

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Quantum technologies are advancing rapidly from experimental research into strategic defence and security applications, fundamentally altering how information is sensed, shared and secured. Ground- and satellite-based quantum key distribution networks are already being deployed by China and the European Union, promising virtually unbreakable communication. Quantum sensing systems, capable of precise navigation without a global navigation satellite system as well as subterranean and underwater detection, are nearing operational use. In computing, there are expectations that within one to three

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Warin, Thierry, and Sarah Elimam. GDP 5.0: Real-Time, Micro-Founded and Sustainable Metrics for Beyond-GDP Economic Assessment. CIRANO, 2025. https://doi.org/10.54932/wfji8791.

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Gross Domestic Product (GDP) remains the dominant yardstick for economic performance, yet its aggregated, nation-bound and market-exclusive nature obscures crucial dimensions of prosperity, equity and environmental sustainability. Building on recent advances in data science and the expanding “Beyond-GDP” literature, this article argues for a generational shift in economic measurement designated “GDP 5.0.” This new approach of GDP integrates high-frequency, geolocated micro-data with artificial-intelligence methods to generate real-time dashboards of economic activity, social welfare and planet

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Perdigão, Rui A. P. Information physics and quantum space technologies for natural hazard sensing, modelling and prediction. Meteoceanics, 2021. http://dx.doi.org/10.46337/210930.

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Disruptive socio-natural transformations and climatic change, where system invariants and symmetries break down, defy the traditional complexity paradigms such as machine learning and artificial intelligence. In order to overcome this, we introduced non-ergodic Information Physics, bringing physical meaning to inferential metrics, and a coevolving flexibility to the metrics of information transfer, resulting in new methods for causal discovery and attribution. With this in hand, we develop novel dynamic models and analysis algorithms natively built for quantum information technological platfor

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Raju, Nivedita, and Tytti Erästö. The Role of Space Systems in Nuclear Deterrence. Stockholm International Peace Research Institute, 2023. http://dx.doi.org/10.55163/nwlc4997.

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This paper is the first of two exploring nuclear escalation risks in connection with the space domain, with a focus on China, Russia and the United States. Space systems are used for multiple civilian and military purposes, including missions related to nuclear deterrence. Consequently, real and perceived military operations targeting space systems may create pathways to nuclear escalation. China, Russia and the USA possess both nuclear weapons and counterspace capabilities and are at risk of being drawn into war with each other through regional conflicts and great power competition. These sta

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