Paper
15 July 2004 The impact of clutter variance on feature discrimination in imaging polarimetry
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Abstract
The automated, or semi-automated analysis of scene elements in a clutter background is more complex in polarimetric imaging than in conventional imaging. This is largely due to the fact that misregistration of the orthogonal images used to calculate the Stokes parameter images introduces an artificial clutter. Further, there is little reported information on polarimetric image clutter. We present representative findings from an analysis of polarimetric image data, obtained over various backgrounds with various geometries, and examine the manner in which systematic and random variations impact feature discriminations.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael J. Duggin and Elizabeth Renee Cabot "The impact of clutter variance on feature discrimination in imaging polarimetry", Proc. SPIE 5432, Polarization: Measurement, Analysis, and Remote Sensing VI, (15 July 2004); https://doi.org/10.1117/12.543960
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Cited by 1 scholarly publication.
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KEYWORDS
Polarimetry

Linear polarizers

Sun

Sensors

Cameras

Polarization

Calibration

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