Published March 2021 | Version Supplemental Material + Published
Journal Article Open

Pre-Flight Calibration of the Mars 2020 Rover Mastcam Zoom (Mastcam-Z) Multispectral, Stereoscopic Imager

  • 1. ROR icon Cornell University
  • 2. ROR icon Massachusetts Institute of Technology
  • 3. ROR icon Arizona State University
  • 4. ROR icon Jet Propulsion Lab
  • 5. ROR icon Malin Space Science Systems (United States)
  • 6. ROR icon University of Copenhagen
  • 7. ROR icon Astrogeology Science Center
  • 8. ROR icon Purdue University West Lafayette
  • 9. ROR icon Johns Hopkins University
  • 10. ROR icon Space Science Institute
  • 11. ROR icon Joanneum Research
  • 12. ROR icon Western Washington University
  • 13. ROR icon California Institute of Technology
  • 14. ROR icon Planetary Society
  • 15. ROR icon University of Winnipeg

Abstract

The NASA Perseverance rover Mast Camera Zoom (Mastcam-Z) system is a pair of zoomable, focusable, multi-spectral, and color charge-coupled device (CCD) cameras mounted on top of a 1.7 m Remote Sensing Mast, along with associated electronics and two calibration targets. The cameras contain identical optical assemblies that can range in focal length from 26 mm (25.5∘×19.1∘ FOV) to 110 mm (6.2∘×4.2∘ FOV) and will acquire data at pixel scales of 148-540 μm at a range of 2 m and 7.4-27 cm at 1 km. The cameras are mounted on the rover's mast with a stereo baseline of 24.3±0.1 cm and a toe-in angle of 1.17±0.03∘ (per camera). Each camera uses a Kodak KAI-2020 CCD with 1600×1200 active pixels and an 8 position filter wheel that contains an IR-cutoff filter for color imaging through the detectors' Bayer-pattern filters, a neutral density (ND) solar filter for imaging the sun, and 6 narrow-band geology filters (16 total filters). An associated Digital Electronics Assembly provides command data interfaces to the rover, 11-to-8 bit companding, and JPEG compression capabilities. Herein, we describe pre-flight calibration of the Mastcam-Z instrument and characterize its radiometric and geometric behavior. Between April 26thth and May 9thth, 2019, ∼45,000 images were acquired during stand-alone calibration at Malin Space Science Systems (MSSS) in San Diego, CA. Additional data were acquired during Assembly Test and Launch Operations (ATLO) at the Jet Propulsion Laboratory and Kennedy Space Center. Results of the radiometric calibration validate a 5% absolute radiometric accuracy when using camera state parameters investigated during testing. When observing using camera state parameters not interrogated during calibration (e.g., non-canonical zoom positions), we conservatively estimate the absolute uncertainty to be <10%. Image quality, measured via the amplitude of the Modulation Transfer Function (MTF) at Nyquist sampling (0.35 line pairs per pixel), shows MTF_(Nyquist) = 0.26−0.50 across all zoom, focus, and filter positions, exceeding the >0.2 design requirement. We discuss lessons learned from calibration and suggest tactical strategies that will optimize the quality of science data acquired during operation at Mars. While most results matched expectations, some surprises were discovered, such as a strong wavelength and temperature dependence on the radiometric coefficients and a scene-dependent dynamic component to the zero-exposure bias frames. Calibration results and derived accuracies were validated using a Geoboard target consisting of well-characterized geologic samples.

Additional Information

© The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. Received 22 May 2020; Accepted 12 January 2021; Published 18 February 2021. The authors would like to thank two anonymous reviewers for detailed and well-thought out comments that substantially improved this manuscript during revision. This work was supported by funding from: the U.S. National Aeronautics and Space Administration (NASA), NASA's Jet Propulsion Laboratory (JPL) at the California Institute of Technology, NASA's Ames Research Center, the United States Geological Survey, the European Space Agency (ESA) PRODEX Programme, the Austrian Research Promotion Agency (FFG), the Canadian Space Agency, the United Kingdom Space Agency, the German Aerospace Center (DLR), the Free University of Berlin, the Danish Research Agency, the Carlsberg Foundation of Denmark, the Natural Sciences and Engineering Research Council of Canada (NSERC), the Canadian Space Agency (CSA), the Canada Foundation for Innovation (CFI), the Manitoba Research Innovation Fund (MRIF), and the University of Winnipeg. Danish participation in this work (Kinch and Jensen), and the broader Mars 2020 project, was supported by the Carlsberg Foundation grants CF16-0981, CF17-0979, and CF19-0023. The authors declare that they have no conflict of interest. The Mars 2020 Mission, Edited by Kenneth A. Farley, Kenneth H. Williford and Kathryn M. Stack.

Attached Files

Published - Hayes2021_Article_Pre-FlightCalibrationOfTheMars.pdf

Supplemental Material - 11214_2021_795_MOESM1_ESM.zip

Supplemental Material - 11214_2021_795_MOESM2_ESM.rar

Supplemental Material - 11214_2021_795_MOESM3_ESM.rar

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Additional details

Identifiers

PMCID
PMC7892537
Eprint ID
108447
Resolver ID
CaltechAUTHORS:20210316-081628849

Funding

NASA/JPL/Caltech
USGS
European Space Agency (ESA)
Österreichische Forschungsförderungsgesellschaft (FFG)
Canadian Space Agency (CSA)
United Kingdom Space Agency (UKSA)
Deutsches Zentrum für Luft- und Raumfahrt (DLR)
Free University of Berlin
Danish Research Agency
Natural Sciences and Engineering Research Council of Canada (NSERC)
Canada Foundation for Innovation (CFI)
Manitoba Research Innovation Fund
University of Winnipeg
Carlsberg Foundation
CF16-0981
Carlsberg Foundation
CF17-0979
Carlsberg Foundation
CF19-0023

Dates

Created
2021-03-19
Created from EPrint's datestamp field
Updated
2021-11-16
Created from EPrint's last_modified field

Caltech Custom Metadata