CITATION.cff

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cff-version: 1.2.0
title: PanCam Operations Toolkit (PCOT)
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: James
    family-names: Finnis
    email: jcf12@aber.ac.uk
    affiliation: Aberystwyth University
    orcid: 'https://orcid.org/0000-0003-4933-0273'
  - given-names: Helen
    family-names: Miles
    orcid: 'https://orcid.org/0000-0003-4063-6479'
    affiliation: Aberystwyth University
    email: hem23@aber.ac.uk
  - given-names: Matt
    family-names: Gunn
    email: mmg@aber.ac.uk
    affiliation: Aberystwyth University
    orcid: 'https://orcid.org/0000-0002-1366-678X'
  - given-names: Ariel
    family-names: Ladegaard
    email: arl13@aber.ac.uk
    affiliation: Aberystwyth University
    orcid: 'https://orcid.org/0000-0002-7318-3368'
identifiers:
  - type: doi
    value: 10.5281/zenodo.12819549
    description: The Github repository for the software
repository-code: 'https://github.com/AU-ExoMars/PCOT'
url: 'https://au-exomars.github.io/PCOT/'
abstract: >-
  The Pancam Operations Toolkit is a Python application and
  library primarily intended for processing data from the
  Pancam instrument on the Rosalind Franklin rover, although
  it lends itself to any task involving processing
  multispectral image data.


  For example, with PCOT you can:


  load ENVI (BSQ interleaved 4-byte float) and (to a basic
  level) PDS4 multispectral images

  load multiple images in other formats (e.g. PNG) and
  combine them into multispectral images

  define regions of interest in the data

  perform mathematical operations

  view spectra and histograms

  and many other things besides. PCOT is highly extensible
  and open-source, so any missing functionality is easily
  added.


  PCOT operates on a graph model - the data is processed
  through a set of nodes which manipulate it in various ways
  (e.g. add regions of interest, perform maths, splice
  images together, merge image channels, plot spectra). A
  PCOT document describes this graph, and we intend that
  documents are distributed along with the data they
  generate to help reproducibility.
keywords:
  - 'multispectral '
  - image processing
  - geology
  - spectroscopy
  - uncertainty
license: MIT