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Proceedings Paper

Morphological operators for enhanced polarimetric image target detection
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Paper Abstract

We introduce an algorithm based on morphological filters with the Stokes parameters that augments the daytime and nighttime detection of weak-signal manmade objects immersed in a predominant natural background scene. The approach features a tailored sequence of signal-enhancing filters, consisting of core morphological operators (dilation, erosion) and higher level morphological operations (e.g., spatial gradient, opening, closing) to achieve a desired overarching goal. Using representative data from the SPICE database, the results show that the approach was able to automatically and persistently detect with a high confidence level the presence of three mobile military howitzer surrogates (targets) in natural clutter.

Paper Details

Date Published: 1 September 2015
PDF: 9 pages
Proc. SPIE 9613, Polarization Science and Remote Sensing VII, 96130R (1 September 2015); doi: 10.1117/12.2185597
Show Author Affiliations
João M. Romano, U.S. Army Precision Armaments Lab. (United States)
Dalton S. Rosario, U.S. Army Precision Armaments Lab. (United States)


Published in SPIE Proceedings Vol. 9613:
Polarization Science and Remote Sensing VII
Joseph A. Shaw; Daniel A. LeMaster, Editor(s)

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