thumbnail

Gaussian-based filters for detecting Martian dust devils

By:
, ,

Links

  • The Publications Warehouse does not have links to digital versions of this publication at this time

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.

Additional Publication Details

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
Number of Pages:
5
Conference Title:
7th IEEE Southwest Symposium on Image Analysis and Interpretation
Conference Location:
Denver, CO
Conference Date:
26 March 2006 through 28 March 2006