Gaussian-based filters for detecting Martian dust devils

Feng Yang, Phillip A Mlsna, Paul Geissler

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

4 Scopus citations

Abstract

The ability to automatically detect dust devils in the Martian atmosphere from orbital imagery is becoming important both for scientific studies of the planet and for the planning of future robotic and manned missions. This paper describes our approach for the unsupervised detection of dust devils and the preliminary results achieved to date. The algorithm centers upon the use of a filter constructed from Gaussian profiles to match dust devil characteristics over a range of scale and orientation. The classification step is designed to reduce false positive errors caused by static surface features such as craters. A brief discussion of planned future work is included.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
Pages46-50
Number of pages5
Volume2006
StatePublished - 2006
Event7th IEEE Southwest Symposium on Image Analysis and Interpretation - Denver, CO, United States
Duration: Mar 26 2006Mar 28 2006

Other

Other7th IEEE Southwest Symposium on Image Analysis and Interpretation
CountryUnited States
CityDenver, CO
Period3/26/063/28/06

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Yang, F., Mlsna, P. A., & Geissler, P. (2006). Gaussian-based filters for detecting Martian dust devils. In Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation (Vol. 2006, pp. 46-50). [1633719]