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Proceedings Paper

Automated determination of scale and orientation of mine field grid
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Paper Abstract

Mine fields are often distinguishable in overhead hyperspectral LWIR imagery due to the spatial pattern in which the mines are laid. Recognition of these field patterns in overhead landmine imagery shows promise for enhancing the ability to detect mine fields. However, before one can search for a field pattern in an image, it is necessary to determine the orientation and size of the pattern within the image, should it exist. We present a method for determining likely scales and orientation for grids of landmines. The approach is to consider pairs of interest points and then look for patterns in the slopes of the lines connecting them. The dominant slope then determines an orientation angle. Next, we look for patterns in the distances between pairs of points that have a slope close to the orientation angle. An application to detecting mine fields via recognition of patterns of features in hyperspectral LWIR imagery is given.

Paper Details

Date Published: 29 April 2008
PDF: 11 pages
Proc. SPIE 6953, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIII, 69530V (29 April 2008); doi: 10.1117/12.784966
Show Author Affiliations
Alan M. Thomas, Georgia Institute of Technology (United States)
J. Michael Cathcart, Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 6953:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIII
Russell S. Harmon; John H. Holloway; J. Thomas Broach, Editor(s)

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