Paper
1 September 2015 Morphological operators for enhanced polarimetric image target detection
Author Affiliations +
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
João M. Romano and Dalton S. Rosario "Morphological operators for enhanced polarimetric image target detection", Proc. SPIE 9613, Polarization Science and Remote Sensing VII, 96130R (1 September 2015); https://doi.org/10.1117/12.2185597
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Cited by 1 scholarly publication.
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KEYWORDS
Polarimetry

Target detection

Image enhancement

Polarization

Long wavelength infrared

Detection and tracking algorithms

Image filtering

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