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Sergey Ravdin,
Alexey Pruglo,
Elena Gundrova,
Alexander G Tartakovsky,
and
Kolessa Alexey
Observation of near-Earth outer space is an important task for astronomers and scientists at the present time. This task is to determine the coordinate and non-coordinate characteristics of artificial space objects. According to data obtained, a catalogue of...
Read more
Observation of near-Earth outer space is an important task for astronomers and scientists at the present time. This task is to determine the coordinate and non-coordinate characteristics of artificial space objects. According to data obtained, a catalogue of...
Read more
Observation of near-Earth outer space is an important task for astronomers and scientists at the present time. This task is to determine the coordinate and non-coordinate characteristics of artificial space objects. According to data obtained, a catalogue of objects is created, which should be maintained and updated. For this, optical means (telescopes) can be involved. The data from these means should be processed in order to obtain information about objects in space.
In this course, we will talk about steps that should be done to detect satellites and estimate their parameters with the methods of background suppression, detection of isolated groups of bright pixels to classify them as stars or tracks. One of the items includes information about star catalogues and the astrometric reduction of the image. The examples of images in different observation conditions will be shown. Usually, during observation, a sequence of images is done and it is important to define the mutual displacement of images for suppressing the spatially correlated background. One more topic for discussion is spatiotemporal methods of filtering observation background and further extraction of spatially resolved point objects from the image.
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Designed for astronomers, scientists, and space enthusiasts interested in near-Earth outer space observation
Suitable for individuals seeking to expand their knowledge in satellite detection and estimation of their parameters
Involves practical methods for background suppression and object detection, making it relevant for those pursuing practical skills in this field
Leverages techniques such as background filtering and star catalogue analysis, providing insights into advanced concepts in observation
Prerequisites in astronomy or related fields may be beneficial for a comprehensive understanding of the course material
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Processing of Space Monitoring Information with these
activities:
Review the basics of astrophysics
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Strengthen your foundation in astrophysics to better understand the concepts of space object observation
Browse courses on
Astrophysics
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Review the textbook chapters on astrophysics
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Complete the practice problems at the end of each chapter
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Watch online videos or documentaries about astrophysics
Show all one activities
Review the basics of astrophysics
Show steps
Strengthen your foundation in astrophysics to better understand the concepts of space object observation
Browse courses on
Astrophysics
Show steps
Show steps
Show steps
- Review the textbook chapters on astrophysics
- Complete the practice problems at the end of each chapter
- Watch online videos or documentaries about astrophysics
Show all one activities
Career center
Learners who complete Processing of Space Monitoring Information will develop knowledge and skills
that may be useful to these careers:
Management Consultant
Management Consultant
Management consultants help businesses improve their performance. They work in a variety of industries, including finance, healthcare, and retail. The course may be useful in understanding business consulting and problem solving.
Project Manager
Project Manager
Project managers plan, organize, and execute projects. They work in a variety of industries, including construction, manufacturing, and healthcare. The course may be useful in understanding project management and leadership.
Data Scientist
Data Scientist
Data scientists use statistical and computational methods to analyze data. They work in a variety of industries, including finance, healthcare, and retail. The course may be useful in understanding data analysis and machine learning.
Business Analyst
Business Analyst
Business analysts analyze business processes and recommend ways to improve them. They work in a variety of industries, including finance, healthcare, and retail. The course may be useful in understanding business analysis and process improvement.
Software Engineer
Software Engineer
Software engineers design, develop, and test software. They work in a variety of industries, including finance, healthcare, and retail. The course may be useful in understanding software development and computer programming.
Product Manager
Product Manager
Product managers plan, develop, and launch new products or features. They work in a variety of industries, including technology, manufacturing, and healthcare. The course may be useful in understanding product management and marketing.
Technical Writer
Technical Writer
Technical writers create user manuals, technical reports, and other documents. They work in a variety of industries, including technology, manufacturing, and healthcare. The course may be useful in understanding technical writing and information design.
Astrophysicist
Astrophysicist
Astrophysicists study the physical properties of celestial objects and the laws that govern them. They use a variety of telescopes and other instruments to study the universe. They may also work with data from space probes and other spacecraft. The course may be useful in understanding the scientific method and data analysis.
Astronomer
Astronomer
Astronomers study planets, stars, galaxies, and other objects in the universe. To do this, they observe the light that comes from these objects. They use a variety of telescopes, including optical telescopes and radio telescopes. Astronomers may also work with data from space probes and other spacecraft. The course may be useful in understanding astronomy concepts and principles.
Teacher
Teacher
Teachers educate students at all levels, from preschool to college. They may teach a variety of subjects, including math, science, and language arts. The course may be useful in understanding education and teaching methods.
Systems Engineer
Systems Engineer
Systems engineers design, develop, and test complex systems. They work in a variety of industries, including aerospace, defense, and healthcare. The course may be useful in understanding systems engineering and project management.
Computer Vision Engineer
Computer Vision Engineer
Computer vision engineers develop algorithms and software that allow computers to interpret images and videos. They work in a variety of industries, including robotics, manufacturing, and healthcare. The course may be useful in understanding image processing and computer vision.
Optical Engineer
Optical Engineer
Optical engineers design, develop, and test optical systems. They use a variety of principles from physics and engineering to design systems that can manipulate light. Optical engineers may work in a variety of industries, including telecommunications, imaging, and manufacturing. The course may be useful in understanding optics and optical imaging.
Planetary Scientist
Planetary Scientist
Planetary scientists study the planets, moons, and other objects in our solar system. They use a variety of telescopes and other instruments to study these objects. They may also work with data from space probes and other spacecraft. The course may be useful in studying the history and composition of the solar system.
Cosmochemist
Cosmochemist
Cosmochemists study the chemical composition of meteorites, asteroids, and other objects in our solar system. They use a variety of techniques to analyze the composition of these objects. They may also work with data from space probes and other spacecraft. The course may be useful in studying the origin and evolution of the solar system.
For more career information including salaries, visit:
OpenCourser.com/course/f2cbdy/processing
Reading list
We've selected ten books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Processing of Space Monitoring Information.
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Delves into the theory and practice of satellite observation and tracking, and offers insight into sensor technologies, tracking techniques, orbit determination, and ground processing.
Provides a comprehensive overview of spacecraft attitude determination and control systems, covering fundamental principles, sensor technologies, control algorithms, and applications.
Introduces the fundamental concepts and equations of orbital mechanics, with a focus on practical applications and engineering problems.
Covers the dynamics and control of spacecraft, emphasizing mathematical modeling, analysis, and simulation techniques.
Provides a comprehensive overview of satellite communications systems, including satellite design, link analysis, and modulation techniques.
Covers the principles and applications of remote sensing, with a focus on image interpretation techniques and technologies.
Provides a comprehensive introduction to digital image processing techniques, including image enhancement, feature extraction, and image classification.
Covers the principles and practices of spacecraft mission design, including trajectory optimization, propulsion systems, and spacecraft subsystems.
Introduces the fundamental principles and applications of robotics, covering topics such as kinematics, dynamics, and control.
Provides a comprehensive overview of spacecraft propulsion systems, covering various types of propulsion technologies and their applications.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/f2cbdy/processing
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Time
32 hours
Via
Coursera
Institution
Moscow Institute of Physics and Technology
Instructors
Sergey Ravdin
Alexey Pruglo
Elena Gundrova
Alexander G Tartakovsky
Kolessa Alexey
Good to know
Designed for astronomers, scientists, and space enthusiasts interested in near-Earth outer space observation
Suitable for individuals seeking to expand their knowledge in satellite detection and estimation of their parameters
Involves practical methods for background suppression and object detection, making it relevant for those pursuing practical skills in this field
Leverages techniques such as background filtering and star catalogue analysis, providing insights into advanced concepts in observation
Prerequisites in astronomy or related fields may be beneficial for a comprehensive understanding of the course material
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