ArticleslgStudy

astronomy

Multiple satellite imaging

Multiple satellite imaging is a astronomy topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Multiple satellite imaging rather than just read about it. In short: Multiple satellite imaging is the process of using multiple satellites to gather more information than a single satellite so that a better estimate of the desired source is possible. Something that cannot be resolved with one telescope might be visible with two or more telescopes.

Multiple satellite imaging — main illustration
Multiple satellite imaging — illustration

Key takeaways

  • Multiple satellite imaging belongs to astronomy; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Multiple satellite imaging to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Multiple satellite imaging from memory before moving on to harder problems.

Reference excerpt

Multiple satellite imaging is the process of using multiple satellites to gather more information than a single satellite so that a better estimate of the desired source is possible. Something that cannot be resolved with one telescope might be visible with two or more telescopes.

Background Interferometry is the process of combining waves in such a way that they constructively interfere. When two or more independent sources detect a signal at the same given frequency those signals can be combined and the result is better than each one individually. An overview of Astronomical interferometers and a History of astronomical interferometry can be referenced from their respective pages. The NASA Origins Program was created in the 1990s to ultimately search for the origin of the universe. The theory that the Origins Program is based on is: since light travels at a constant speed until it is absorbed by something; there is still light that was part of the first light ever created traveling about the universe and ultimately some of that light is coming in the general direction of Earth. So a satellite system capable of collecting light from the beginning of the universe would be able to tell us more about where we came from. There is also the constant search for life in other worlds. A satellite system using the interferometric technologies mentioned above would be able to have a much higher resolution than any of the current deep space imaging systems.

Future

NASA is currently focused on the Vision for Space Exploration and has reduced current funding for scientific unmanned space exploration in favor of human exploration. These budget cuts have slowed the multiple satellite imaging development and relevant scientific missions as Project Prometheus and Terrestrial Planet Finder have ended as well but research continues.

See also Space telescope

References Blair, Bill and Humberto Calvani. "Far Ultraviolet Spectroscopic Analyzer". 14 January 2008. Johns Hopkins University. 23 January 2008. [1]. Chakrovorty, Suman. Multi-Spacecraft Interferometric Imaging Systems: The Search for New Worlds. Doctoral Dissertation. University of Michigan. 2003. Chambers, Lin H.. "Electromagnetic Spectrum." My NASA Data. 6 November 2007. National Aeronautics and Space Administration. 21 November 2008 [2]. Chung, Soon-Jo, Miller, David W., and de Weck, Olivier L., "ARGOS testbed: study of multidisciplinary challenges of future spaceborne interferometric arrays," Optical Engineering, vol. 43, no.9, September 2004, pp. 2156–2167. (download PDF file) Duffieux, P.M. The Fourier Transform and its Applications to Optics. 2nd edition. New York: John Wiley and Sons, Inc., 1983. Gano, S.E. and et al. “A Baseline Study of Low-Cost, High-Resolution, Imaging System using Wavefront Reconstruction.” A Collection of Technical Papers: AIAA Space 2001 Conference and Exposition, 28 – 30 August 2001, Albuquerque: Aug 2001. Gatelli, Fabio, et al. "The Wavenumber Shift in SAR Interferometry." IEEE Transactions on Geoscience and Remote Sensing 32.4 (1994): 855,856–865. Hussein, Islam I., D. J. Scheeres and D.C. hyland. Interferometric Observatories in Earth Orbit. Published by American Institute of Aeronautics and Astronautics. Danvers: 3 October 2003. Hussein, Islam I. Motion Planning for Multi-Spacecraft Interferometric Imaging Systems. Doctoral Dissertation. University of Michigan. 2005. Hussein, Islam I., Scheeres, Daniel J., Bloch, Anthony M., Hyland, David C., McClamroch, N. Harris. Optimal Motion Planning for Dual-Spacecraft Interferometry. IEEE Transactions on Aerospace and Electronic Systems Vol. 43, No. 2. Published: Apr 2007. Jackson, Randal. "Getting the Big Picture: Multiple telescopes, one target”. Planet Quest. National Aeronautics and Space Administration. 23 October 2007. [3]. Jackson, Randal. "How to take snapshots of distant worlds." Planet Quest. National Aeronautics and Space Administration. 23 October 2007. [4]. Jackson, Randal. "An instrument for ground-based planet searches". Planet Quest. National Aeronautics and Space Administration. Sep 2007. [5]. Jackson, Randal. "Keck Interferometer". Planet Quest. National Aeronautics and Space Administration. Space.com. Sep 2007. [6]. John M. Brayer, PhD "Introduction to Fourier Transforms for Image Processing". University of New Mexico, Albuquerque. Aug 2007 [7]. Joseph W. Goodman. Introduction to Fourier Optics. 3rd Edition. Greenwood Village: Ben Roberts, 2005. Knight, Andrew. Basics of Matlab and Beyond. Boca Raton: Chapman & Hall, 2000. Lori Tyahla. "Introduction – Overview”. The Hubble Space Telescope. 1 November 2006. National Aeronautics and Space Administration. 1 November 2007. [8]. Lavoie, Sue. "Spacecraft and Telescopes." Photo Journal. National Aeronautics and Space Administration. Sep 2007. [9]. Overcast, Marshall C. and Paul W. Nugent. Computing the 2-D Discrete Fourier Transform or Sweet-talking MATLAB into Making Cool Pictures. Owens, Robyn. "Fourier Transform Theory." 29 October 1997. 12 October 2007. [10]. "Point spread function." 28 August 2007. Wikipedia. 7 July 2007. Point spread function. Rarogiewicz, Lu. "Interferometry 101: How light is combined from multiple telescopes." 5 July 2001. 12 September 2007. [11]. Rodenburg, John M. "The Fourier Transform of a one-dimensional aperture (a harbour entrance)". 21 October 2004. [12]. "Spitzer Space Telescope" Spitzer Science Center. California Institute of Technology. Sep 2007 [13]. Steel, William Howard. Interferometry. New York: Cambridge University Press, 1983. Steve Unwin. "Origins." Origins Project. National Aeronautics and Space Administration. Sep 2007. [14]. Steward, E.G. Fourier Optics: An Introduction. 2nd Edition. Chichester: Ellis Horwood Limited Publishers, 1987. Tracy Vogel. "Hubble Essentials." Hubble Site. National Aeronautics and Space Administration. Sep 2007. [15]. Watanabe, Susan. "Jet Propulsion Laboratory: California Institute of Technology". National Aeronautics and Space Administration. Sep 2007 [16] Archived 4 April 2014 at the Wayback Machine. Weaver, H. Joseph. Theory of Discrete and Continuous Fourier Analysis. New York: John Wiley and Sons, Inc., 1989. Williams, Charles Sumner and Orville A. Becklund. Introduction to the Optical Transfer Function. New York: Wiley, 1989. Yang, Xiangyang, and Yu, Francis, T. S. Introduction to Optical Engineering. New York: Cambridge University Press, 1997.

Illustrations

Multiple satellite imaging: Space Interferometry Mission conceptual picture
Space Interferometry Mission conceptual picture
Multiple satellite imaging: Terrestrial Planet Finder conceptual image by T. Herbst
Terrestrial Planet Finder conceptual image by T. Herbst

Worked examples

Example 1 — a first encounter with Multiple satellite imaging

Start with the simplest possible case. Write down what Multiple satellite imaging claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Multiple satellite imaging before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Multiple satellite imaging ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Multiple satellite imaging

In research
Multiple satellite imaging appears in astronomy research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Multiple satellite imaging in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Multiple satellite imaging is common in secondary-school and first-year university syllabi. It links to neighbouring topics Image processing, Interferometers, Interferometry, so understanding it makes those chapters shorter.
In everyday life
Look for Multiple satellite imaging outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “Multiple satellite imaging” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Multiple satellite imaging in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Multiple satellite imaging means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Multiple satellite imaging out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Multiple satellite imaging in simple terms?

Multiple satellite imaging is the process of using multiple satellites to gather more information than a single satellite so that a better estimate of the desired source is possible. Something that cannot be resolved with one telescope might be visible with two or more telescopes.

Why does Multiple satellite imaging matter?

Because it connects several astronomy ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Multiple satellite imaging?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Multiple satellite imaging.

Tags

  • Image processing
  • Interferometers
  • Interferometry
  • Satellite imagery
  • Space telescopes

Keep exploring