6/12/2018 About the course Thermal and Multispectral Imaging - - PDF document

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6/12/2018 About the course Thermal and Multispectral Imaging - - PDF document

6/12/2018 About the course Thermal and Multispectral Imaging http://ekstamahlberg.se/~jorgen/thermalcourse Lecture 1: Introduction Jrgen Ahlberg F. W. Herschel 1762 Light & Radiation


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Thermal and Multispectral Imaging

Lecture 1: Introduction Jörgen Ahlberg

About the course

http://ekstamahlberg.se/~jorgen/thermalcourse

Light & Radiation

  • F. W. Herschel 1762

https://open.spotify.com/track/0kQcVlkwv2LJQ49KXnklVe

Caroline & William Herschel

  • 4 moons
  • 8 comets
  • 1 planet

Herschel 1800a

“In this case, radiant heat will at least partly, if not chiefly, consist, if I may be permitted the expression, of invisible light; that is to say, of rays coming from the sun, that have such a momentum as to be unfit for vision.”

  • F. W. Herschel, “Experiments on the refrangibility of the invisible rays
  • f the Sun,” Philos. Trans. R. Soc., vol. 90, pp. 284–292, 1800.

doi: 10.1098/rstl.1800.0015

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Herschel 1800b, c

  • F. W. Herschel, “Experiments on the Solar, and on the Terrestrial Rays that

Occasion Heat; With a Comparative View of the Laws to Which Light and Heat,

  • r Rather the Rays Which Occasion Them, are Subject, in Order to Determine

Whether They are the Same, or Different. Part II,” Philos. Trans. R. Soc. London,

  • vol. 90, pp. 437–538, Jan. 1800.

doi: 10.1098/rstl.1800.0020

  • F. W. Herschel, “Experiments on the Solar, and on the Terrestrial Rays that

Occasion Heat; With a Comparative View of the Laws to Which Light and Heat,

  • r Rather the Rays Which Occasion Them, are Subject, in Order to Determine

Whether They are the Same, or Different. Part I,” Philos. Trans. R. Soc. London,

  • vol. 90, pp. 293–326, Jan. 1800.

doi: 10.1098/rstl.1800.0016

Max Planck 1900:

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Domains and wavelengths and bands Why this particular division? Reason 1: Atmospheric transmission Reason 2: Behaviour

  • Reflective domain
  • Emissive domain

Reason 3: Sensors

  • VNIR: Silicon (CCD, CMOS)
  • SWIR: InGaAs sensors
  • MWIR: InSb and MCT sensors
  • LWIR: MCT and bolometer sensors

Note: There are other subdivisions! For example, astronomers use:

  • NIR 0.7-5
  • MIR: 5-(25…40)
  • FIR: (25-40)-

Radiation and matter

Incoming radiation Reflected radiation Absorbed radiation

Studied object

Transmitted radiation

  • Absorbed
  • Reflected
  • Transmitted
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Radiation and matter

Incoming radiation Reflected radiation Absorbed radiation

Studied object

Transmitted radiation

  • Absorbed
  • Reflected
  • Transmitted
  • Emitted

Emitted radiation

Radiation and matter

Incoming radiation Reflected radiation Emitted radiation Transmitted radiation

Studied object

  • Absorbed
  • Reflected
  • Transmitted
  • Emitted
  • Scattered
  • Diffracted

Absorbed radiation

What does the camera see? Thermal cameras Thermal cameras

Defence Civilian Thermography Imaging (non radiometric) Temperature measuring (radiometric) Low-end Medium Advanced Automation, monitoring, R&D SWIR High performance for R&D High resolution for R&D Gas finder cameras

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Cooled vs uncooled Color mappings

Visual White hot Black hot

Color mappings

Visual Rainbow Iron

Applications of thermal imaging

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Non-destructive testing Multi- and hyperspectral imaging What is multi/hyperspectral imaging?

Greyscale image – one band Color image – three bands Multispectral image – several bands … Hyperspectral image – many contiguous bands

Why multi/hyperspectral images? Applications

  • Defence
  • Mineralogy
  • Land-use classification
  • Precision farming
  • Food inspection
  • Environmental monitoring
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… finding camouflaged objects.

Can you see the green camouflage net?

… finding the bad nuts/potatoes/apples/... … finding out where your crops are fine, and where they are not.

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The Rest of the Course Topics

  • Radiometry: Deeper into how light interacts with matter, including

radiation geometry.

  • Sensors and cameras: How sensors capture light, common problems,

and how to build multi- and hyperspectral cameras.

  • Thermal image processing: Common tasks and problems, such as

temperature estimation and ”hot spot” detection.

  • Hyperspectral image processing: The HS processing chain; atmospheric

correction, unmixing, classification.

  • Hyperspectral detection: Anomalies, targets, changes.

Artiklar

  • Zhao: Amanda
  • Ma: Gustav
  • Bernstein: Karl