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Wide-area motion imagery

Wide-area motion imagery is a science 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 Wide-area motion imagery rather than just read about it. In short: Wide-area motion imagery (WAMI) is an approach to surveillance, reconnaissance, and intelligence-gathering that employs specialized software and a powerful camera system—usually airborne, and for extended periods of time—to detect and track hundreds of people and vehicles moving out in the open, over a city-sized area, kilometers in diameter. For this reason, WAMI is sometimes referred to as wide-area persistent sur…

Key takeaways

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

Reference excerpt

Wide-area motion imagery (WAMI) is an approach to surveillance, reconnaissance, and intelligence-gathering that employs specialized software and a powerful camera system—usually airborne, and for extended periods of time—to detect and track hundreds of people and vehicles moving out in the open, over a city-sized area, kilometers in diameter. For this reason, WAMI is sometimes referred to as wide-area persistent surveillance (WAPS) or wide-area airborne surveillance (WAAS). A WAMI sensor images the entirety of its coverage area in real time. It also records and archives that imagery in a database for real-time and forensic analysis. WAMI operators can use this live and recorded imagery to spot activity otherwise missed by standard video cameras with narrower fields of view, analyze these activities in context, distinguish threats from normal patterns of behavior, and perform the work of a larger force. Military and security personnel are the typical users of WAMI, employing the technology for such missions as force protection, base security, route reconnaissance, border security, counter-terrorism, and event security. However, WAMI systems can also be used for disaster response, traffic pattern analysis, wildlife protection, and law enforcement.

Capabilities and enabling technologies The typical WAMI sensor produces imagery at an update rate of 1 Hz or faster from one or more multiple megapixel cameras. The system then seamlessly stitches together the collected images and applies algorithms to geo-register them, ensuring that the sensor picture represents ground truth. As far as resolution goes, WAMI systems usually have a 0.5 meter ground sample distance (GSD)—enough to detect and track moving targets throughout the scene. Should a user need to take a closer look at a subject, the WAMI system can cue other available sensors, such as hi-res full-motion video cameras, to make the identification. Users can select different video streams pulled from the WAMI system's vast field of view and, with the help of advanced data compression techniques, watch them live on their computer screens or handheld devices. In some systems, users can also designate "watchboxes" within the sensor's field of view to provide automated alerts should the system detect movement in the area. All WAMI is tagged for time and location before being stored in an airborne or ground-based database. Users can remotely access this database and, similar to DVR functionality, can speed through or rewind the imagery to find specific incidents. In addition, just as with the real-time imagery, WAMI users can pan, tilt, and zoom within the archived imagery.

Evolution of WAMI systems The very first WAMI system was developed in the early 2000s by a Lawrence Livermore National Laboratory team led by John Marion, as part of the Sonoma Persistent Surveillance Program. In 2005, the sensor transitioned to the U.S. Department of Defense, and in 2006, the Army sent the system—dubbed Constant Hawk—to Iraq on Short 360-300 turboprop aircraft as part of a Quick Reaction Capability. Three years later, Constant Hawk also deployed to Afghanistan. Weighing 1500 pounds, Constant Hawk initially comprised six electro-optical 11-megapixel cameras that covered 25 square kilometers. This payload was later upgraded to six 16-megapixel cameras. Since the deployment of Constant Hawk, WAMI systems have gotten smaller, lighter, and more capable. The current generation Kestrel Block II, for instance, employs eight electro-optical/infrared cameras that, together, form a 440-megapixel mosaic and cover 113 square kilometers. Yet this WAMI system weighs less than 85 pounds—light enough to be mounted on a tethered blimp, or aerostat, which can be kept aloft for weeks at a time.

List of WAMI systems Constant Hawk Angel Fire Blue Devil Lightweight Expeditionary Airborne Persistent Surveillance (LEAPS) Airborne Wide Area Persistent Surveillance Sensor (AWAPPS) Kestrel Kestrel Block II (formerly KS-200) Autonomous Real-Time Ground Ubiquitous Surveillance Imaging System (ARGUS-IS) Gorgon Stare Redkite Simera CorvusEye SkEye HawkEye II Heli-Tele WASP (IAI/TAMAM) POPSTAR (IAI/TAMAM) ESEN Systems Integration WAMI

References

Worked examples

Example 1 — a first encounter with Wide-area motion imagery

Start with the simplest possible case. Write down what Wide-area motion imagery claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, 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 Wide-area motion imagery 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 Wide-area motion imagery 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 Wide-area motion imagery

In research
Wide-area motion imagery appears in science 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 Wide-area motion imagery 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
Wide-area motion imagery is common in secondary-school and first-year university syllabi. It links to neighbouring topics Aerial photography, Intelligence gathering disciplines, Reconnaissance, so understanding it makes those chapters shorter.
In everyday life
Look for Wide-area motion imagery 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.
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How to study Wide-area motion imagery in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Wide-area motion imagery 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 Wide-area motion imagery out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Wide-area motion imagery in simple terms?

Wide-area motion imagery (WAMI) is an approach to surveillance, reconnaissance, and intelligence-gathering that employs specialized software and a powerful camera system—usually airborne, and for extended periods of time—to detect and track hundreds of people and vehicles moving out in the open, ov…

Why does Wide-area motion imagery matter?

Because it connects several science 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 Wide-area motion imagery?

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 Wide-area motion imagery.

Tags

  • Aerial photography
  • Intelligence gathering disciplines
  • Reconnaissance
  • Surveillance
  • Video

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