Gaussian-based filters for detecting Martian dust devils
By: F. Yang, P.A. Mlsna, and P. Geissler
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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. ?? 2006 IEEE.
| Publication type | Conference Paper |
|---|---|
| Publication Subtype | Conference Paper |
| Title | Gaussian-based filters for detecting Martian dust devils |
| ISBN | 1424400694; 9781424400690 |
| Volume | 2006 |
| Year Published | 2006 |
| Language | English |
| Larger Work Title | Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation |
| First page | 46 |
| Last page | 50 |
| Conference Title | 7th IEEE Southwest Symposium on Image Analysis and Interpretation |
| Conference Location | Denver, CO |
| Conference Date | 26 March 2006 through 28 March 2006 |
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