hyperspectral images Flashcards

1
Q

typical number of spectral bands in hyperspectral imaging

A

more than 100

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2
Q

describe bands in hyperspectral imaging

A
  • narrow (less than 10 to 20 nanometers width)
  • contiguous (adjacent)
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3
Q

implication of hyperspectral imaging bands being narrow and contiguous

A

enables the extraction of reflectance spectra at pixel scale

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4
Q

for hyperspectral imaging, what absorption band is typically used to determine mineralogical content of rocks

A

0.4 to 2.5 microns

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5
Q

what minerals are detected by hyperspectral imaging

A

phyllo-silicates, carbonates, sulphates, iron oxides and hydroxides

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6
Q

two types of process in hyperspectral imaging

A

electronic processes and vibrational processes

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7
Q

individual atoms or ions in minerals absorb photons of specific wavelengths, which cause absorptions at certain wavelengths in reflectance spectra

A

electronic processes

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8
Q

molecular bonds absorb photons, which results in vibration of these molecules

A

vibrational process

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9
Q

example of electronic process involved in hyperspectral imaging

A

Fe3+ atoms in iron oxides and hydroxides

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10
Q

example of vibrational processes that are involved in hyperspectral imaging

A

Al-OH bonds in clay minerals
bonds in H2O and OH- in hydrous minerals
CO3 2- in carbonate minerals

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11
Q

aim at quantifying the statistical or physical relationship between measurements at a pixel scale and field or laboratory spectral responses of target materials of interest.

A

spectral matching algorithms

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12
Q

observed as pixel reflectance values that result from spectral mixture of a number of ground classes present at the sensed surface

A

spectral unmixing

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13
Q

when is spectral unmixing linear

A
  1. no multiple scattering in the same material (no multiple bounces)
  2. no interaction between materials (each photons sees only one material)
  3. scale of mixing is large compared to grain size of material
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14
Q

sources that contribute to spectral mixing

A
  1. optical imaging systems integrate reflected light from each pixel,
  2. all materials present in the field of view contribute to the mixed reflectance sensed at a pixel, and
  3. variable illumination conditions due to topographic effects result in spectrally mixed signals
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