Geert J. Verhoeven

PhD Archaeology



University of Vienna

Franz-Klein-Gasse 1
Room A5.04 (5th floor)
1190 Vienna
Austria



Pixels – So basic but so confusing


Journal article


Geert J. Verhoeven
AARGnews, vol. 56, 2018, pp. 28-33


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APA   Click to copy
Verhoeven, G. J. (2018). Pixels – So basic but so confusing. AARGnews, 56, 28–33. https://doi.org/10.5281/zenodo.4024319


Chicago/Turabian   Click to copy
Verhoeven, Geert J. “Pixels – So Basic but so Confusing.” AARGnews 56 (2018): 28–33.


MLA   Click to copy
Verhoeven, Geert J. “Pixels – So Basic but so Confusing.” AARGnews, vol. 56, 2018, pp. 28–33, doi:10.5281/zenodo.4024319.


BibTeX   Click to copy

@article{verhoeven2018a,
  title = {Pixels – So basic but so confusing},
  year = {2018},
  journal = {AARGnews},
  pages = {28-33},
  volume = {56},
  doi = {10.5281/zenodo.4024319},
  author = {Verhoeven, Geert J.}
}

Abstract
In the very first part of this series, we concisely explored the nature of electromagnetic radiation and explained why and how the reflection of its optical part governs the creation of most remote sensing products. A perfect and prevalent example of the latter is the acquisition of a digital photograph. Any photograph, whether airborne, spaceborne or terrestrial, records how an object or a scene interacts with all kinds of radiant energy (amongst many other interactions such as those taking place in the atmosphere and inside the camera). Even though that might seem obvious, the constant increase of digital cameras in all forms and shapes makes us too often unaware of the complex events that take place under the hood of a camera. All these events make up the imaging chain or imaging pipeline.

To cover all aspects of the whole imaging pipeline comprehensively is impossible in just a few pages. Let us, therefore, mainly focus on the output of such an imaging pipeline: a digital photograph (or more generally a digital image). Starting from the fundamentals of an imaging sensor, this article will provide some insights into the basic building blocks of any image: pixels. The concepts that are introduced here and in the first entry will prove essential for most of the future entries in this series.

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