@article{a05b658e0bc04d2db61fd8c5cefae571,
title = "Geometric processing of TGO CaSSIS observations",
abstract = "The Colour and Stereo Surface Imaging System (CaSSIS) is the scientific imager onboard the European Space Agency/Roscosmos ExoMars Trace Gas Orbiter. CaSSIS has one of the most advanced capabilities for colour imaging of the Martian surface on any spacecraft currently orbiting Mars. Such capability can only be utilized, however, by accurate geometric processing of CaSSIS datasets. Here we describe the dataset processing carried out by the CaSSIS geometry pipeline. This pipeline takes a number of single CaSSIS exposures and applies co-registration and map projection algorithms to produce full CaSSIS image mosaics in single and multiple wavelength bands. This process is described in detail along with the software packages that are implemented. The need for accurate co-registration between the different wavelength channels is shown. A description of the output from the pipeline is also given, with example images being shown to illustrate the result of using different CaSSIS wavelength channel combinations for image reconstruction.",
keywords = "Image processing, Instrumentation, Mars, Surface",
author = "Perry, {Jason E.} and Rodney Heyd and Matthew Read and Tornabene, {Livio L.} and Sutton, {Sarah S.} and Shane Byrne and Nicolas Thomas and Audrie Fennema and Alfred McEwen and Kristin Berry",
note = "Funding Information: MR acknowledges support from the Activit{\'e}s Nationales Compl{\'e}mentaires programme of the Swiss confederation under grant REF-1131-61001. LLT wishes to personally acknowledge funding in support of this work from the Canadian Space Agency (CSA) through their Planetary and Astronomy Missions Co-Investigator programme (22EXPCOI3) and the Canadian NSERC Discovery Grant programme (RGPIN 2020-06418). Funding Information: CaSSIS is a project of the University of Bern and funded through the Swiss Space Office via ESA's PRODEX programme. The instrument hardware development was also supported by the Italian Space Agency (ASI) (ASI-INAF agreement no. 2020-17-HH.0 ), INAF/Astronomical Observatory of Padova, and the Space Research Center (CBK) in Warsaw. Support from SGF (Budapest), the University of Arizona (Lunar and Planetary Lab.) and NASA is also gratefully acknowledged. Operations support from the UK Space Agency under grant ST/R003025/1 is also acknowledged. Funding Information: CaSSIS is a project of the University of Bern and funded through the Swiss Space Office via ESA's PRODEX programme. The instrument hardware development was also supported by the Italian Space Agency (ASI) (ASI-INAF agreement no.2020-17-HH.0), INAF/Astronomical Observatory of Padova, and the Space Research Center (CBK) in Warsaw. Support from SGF (Budapest), the University of Arizona (Lunar and Planetary Lab.) and NASA is also gratefully acknowledged. Operations support from the UK Space Agency under grant ST/R003025/1 is also acknowledged. MR acknowledges support from the Activit{\'e}s Nationales Compl{\'e}mentaires programme of the Swiss confederation under grant REF-1131-61001. LLT wishes to personally acknowledge funding in support of this work from the Canadian Space Agency (CSA) through their Planetary and Astronomy Missions Co-Investigator programme (22EXPCOI3) and the Canadian NSERC Discovery Grant programme (RGPIN 2020-06418). This research has made use of the USGS Integrated Software for Imagers and Spectrometers (ISIS). Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Publisher Copyright: {\textcopyright} 2022 Elsevier Ltd",
year = "2022",
month = nov,
day = "15",
doi = "https://doi.org/10.1016/j.pss.2022.105581",
language = "English (US)",
volume = "223",
journal = "Planetary and Space Science",
issn = "0032-0633",
publisher = "Elsevier Limited",
}