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Proceedings Paper

Correlation of environmental data measurements with polarimetric LWIR sensor measurements of manmade objects in natural clutter
Author(s): James McCarthy; Mark Woolley; Luz Roth
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Paper Abstract

In recent years there has been an increased interest in using polarimetric imaging sensors for terrestrial remote sensing applications because of their ability to discriminate manmade objects in a natural clutter background. However, adverse weather limits the performance of these sensors. Long Wave Infrared (LWIR) polarimetric sensor data of a scene containing manmade objects in a natural clutter background is compared with simultaneously collected environmental data. In this paper, a metric is constructed from the Stokes parameter S1 and is correlated with some environmental channels. There are differences in the correlation outputs, with the sensor data metric positively correlated with some environmental channels, negatively correlated with some channels and uncorrelated with other channels. Results from real data measurements are presented and interpreted. An uncooled LWIR sensor using an achromatic retarder to capture the polarimetric states performed the data collection. The environmental channels include various meteorological channels, radiation loading and soil properties.

Paper Details

Date Published: 24 April 2010
PDF: 12 pages
Proc. SPIE 7672, Polarization: Measurement, Analysis, and Remote Sensing IX, 76720M (24 April 2010); doi: 10.1117/12.850353
Show Author Affiliations
James McCarthy, Defence Science and Technology Organisation (Australia)
U.S. Army Armament Research, Development and Engineering Ctr. (United States)
Mark Woolley, U.S. Army Armament Research, Development and Engineering Ctr. (United States)
Luz Roth, U.S. Army Armament Research, Development and Engineering Ctr. (United States)


Published in SPIE Proceedings Vol. 7672:
Polarization: Measurement, Analysis, and Remote Sensing IX
David B. Chenault; Dennis H. Goldstein, Editor(s)

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