Post-projection removal of row- and column-correlated noise in line-scanning data: Application to THEMIS infrared data

K. J. Nowicki, C. S. Edwards, Philip Christensen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Post-calibration row- and column-correlated noise resulting from voltage instability in the electronics of the Thermal Emission Imaging System (THEMIS), on-board the 2001 Mars Odyssey spacecraft is mapped with the data during map projection, making reliable spectral analysis of small areas (< 4km2) problematic. The majority of detector-row and column correlated noise is removed during calibration using a windowed algorithm and utilizing information in the Instrument Response Function (IRF), but residual noise dubbed 'plaid' and processing artifacts remain after the calibrated data has been projected. These artifacts can be readily viewed using decorrelation stretches or by numerically comparing radiance or emissivity differences in small regions. We present an algorithm to remove the residual row- and column-correlated noise from THEMIS data, leveraging post-projection information to improve the accuracy in radiance and emissivity analyses of small areas. The removal of the 'plaid' is essential for the detection of spectrally significant surface materials.

Original languageEnglish (US)
Title of host publication2013 5th Workshop on Hyperspectral Image and Signal Processing
Subtitle of host publicationEvolution in Remote Sensing, WHISPERS 2013
PublisherIEEE Computer Society
Volume2013-June
ISBN (Electronic)9781509011193
DOIs
Publication statusPublished - Oct 23 2017
Event5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2013 - Gainesville, United States
Duration: Jun 26 2013Jun 28 2013

Other

Other5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2013
CountryUnited States
CityGainesville
Period6/26/136/28/13

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Keywords

  • Remote Sensing
  • Row- and Column Correlated Noise Removal
  • THEMIS

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Nowicki, K. J., Edwards, C. S., & Christensen, P. (2017). Post-projection removal of row- and column-correlated noise in line-scanning data: Application to THEMIS infrared data. In 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2013 (Vol. 2013-June). [8080692] IEEE Computer Society. https://doi.org/10.1109/WHISPERS.2013.8080692