1 September 2015 Morphological operators for enhanced polarimetric image target detection
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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.
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João M. Romano, João M. Romano, Dalton S. Rosario, Dalton S. Rosario, } "Morphological operators for enhanced polarimetric image target detection", Proc. SPIE 9613, Polarization Science and Remote Sensing VII, 96130R (1 September 2015); doi: 10.1117/12.2185597; https://doi.org/10.1117/12.2185597
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