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title tags authors affiliations date bibliography
hyperspectralpy: A Python package for processing hyperspectral images.
Python
hyperspectral
spectra
ENVI
name orcid equal-contrib affiliation
William F Basener
0000-0002-8593-2362
true
1
name index
School of Data Science, University of Virginia, USA
1
11/17/2022
paper.bib

Summary

A hyperspectral image is a digital image that, instead of having jsut the usual three visual colors red, green, and blue colors, has many bands at wavelengths of light beyond the visual range. The wavelengths for light at the visual colors is 450nm (blue), 550nm (green), and 650nm (red), but hyperspectral images typically include hundreds of wavelengths which may for example cover the range from 400nm to 2500nm. Thus, each pixel in a hyperspectral image is a spectrum, consisting of measurements (usually reflectance) across the bands of the image. This allows spectroscopy, the detection and identificaiton of materials based in each pixel based on the spectrum. This spectrum is determined by the chemical bonds and physics of the materials in the pixel.

Statement of need

hyperspectralpy is a GUI-based software for viewing and processing hyperspectral images. The software can be installed with pip, and running the command import hyperspectral will initiate the GUI. Functions can be accessed within the spectralAdv submodule.

Mathematics

Single dollars ($) are required for inline mathematics e.g. $f(x) = e^{\pi/x}$

Double dollars make self-standing equations:

$$\Theta(x) = \left{\begin{array}{l} 0\textrm{ if } x < 0\cr 1\textrm{ else} \end{array}\right.$$

You can also use plain \LaTeX for equations \begin{equation}\label{eq:fourier} \hat f(\omega) = \int_{-\infty}^{\infty} f(x) e^{i\omega x} dx \end{equation} and refer to \autoref{eq:fourier} from text.

Citations

Citations to entries in paper.bib should be in rMarkdown format.

If you want to cite a software repository URL (e.g. something on GitHub without a preferred citation) then you can do it with the example BibTeX entry below for @fidgit.

For a quick reference, the following citation commands can be used:

  • @author:2001 -> "Author et al. (2001)"
  • [@author:2001] -> "(Author et al., 2001)"
  • [@author1:2001; @author2:2001] -> "(Author1 et al., 2001; Author2 et al., 2002)"

Figures

Figures can be included like this: Caption for example figure.\label{fig:example} and referenced from text using \autoref{fig:example}.

Figure sizes can be customized by adding an optional second parameter: Caption for example figure.{ width=20% }

Acknowledgements

The author and UVA thank Spectral Solutions for contributing to the code.

References

Example paper.bib file:

@article{Pearson:2017, url = {http://adsabs.harvard.edu/abs/2017arXiv170304627P}, Archiveprefix = {arXiv}, Author = {{Pearson}, S. and {Price-Whelan}, A.~M. and {Johnston}, K.~V.}, Eprint = {1703.04627}, Journal = {ArXiv e-prints}, Keywords = {Astrophysics - Astrophysics of Galaxies}, Month = mar, Title = {{Gaps in Globular Cluster Streams: Pal 5 and the Galactic Bar}}, Year = 2017 }

@book{Binney:2008, url = {http://adsabs.harvard.edu/abs/2008gady.book.....B}, Author = {{Binney}, J. and {Tremaine}, S.}, Booktitle = {Galactic Dynamics: Second Edition, by James Binney and Scott Tremaine.~ISBN 978-0-691-13026-2 (HB).~Published by Princeton University Press, Princeton, NJ USA, 2008.}, Publisher = {Princeton University Press}, Title = {{Galactic Dynamics: Second Edition}}, Year = 2008 }

@article{gaia, author = {{Gaia Collaboration}}, title = "{The Gaia mission}", journal = {Astronomy and Astrophysics}, archivePrefix = "arXiv", eprint = {1609.04153}, primaryClass = "astro-ph.IM", keywords = {space vehicles: instruments, Galaxy: structure, astrometry, parallaxes, proper motions, telescopes}, year = 2016, month = nov, volume = 595, doi = {10.1051/0004-6361/201629272}, url = {http://adsabs.harvard.edu/abs/2016A%26A...595A...1G}, }

@article{astropy, author = {{Astropy Collaboration}}, title = "{Astropy: A community Python package for astronomy}", journal = {Astronomy and Astrophysics}, archivePrefix = "arXiv", eprint = {1307.6212}, primaryClass = "astro-ph.IM", keywords = {methods: data analysis, methods: miscellaneous, virtual observatory tools}, year = 2013, month = oct, volume = 558, doi = {10.1051/0004-6361/201322068}, url = {http://adsabs.harvard.edu/abs/2013A%26A...558A..33A} }

@misc{fidgit, author = {A. M. Smith and K. Thaney and M. Hahnel}, title = {Fidgit: An ungodly union of GitHub and Figshare}, year = {2020}, publisher = {GitHub}, journal = {GitHub repository}, url = {https://github.com/arfon/fidgit} }