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Everything about Spectral imaging

Branch of spectroscopy and of photography

Spectral imaging is imaging that uses multiple bands across the electromagnetic spectrum. While an ordinary camera captures light across three wavelength bands in the visible spectrum, red, green, and blue (RGB), spectral imaging encompasses a wide variety of techniques that go beyond RGB. Spectral imaging may use the infrared, the visible spectrum, the ultraviolet, x-rays, or some combination of the above. It may include the acquisition of image data in visible and non-visible bands simultaneously, illumination from outside the visible range, or the use of optical filters to capture a specific spectral range. It is also possible to capture hundreds of wavelength bands for each pixel in an image. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Spectral imagingA 5-minute orientation
  2. Skim a recent paper: A systematic review on hyperspectral imaging technology with a machine and deep learning methodology for agricultural applicationsInfluential work since 2022
  3. Pick up a classic book: Landsat-4 science characterization early resultsThe most-reprinted book on the subject
  4. Read the landmark paper: MR diffusion tensor spectroscopy and imagingCited 5,388 times
  5. Go sideways: Hyperspectral imagingA closely related topic
  6. Go sideways: Multispectral imagingA closely related topic

📖 Definitions

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🗂️ The subject at a glance

  1. Systems

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics