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7 May 2007Recreation of a nominal polarimetric scene using synthetic modeling tools
Comparisons have been made showing that modeled multi and hyperspectral imagery can approach the complexity
of real data and the use of modeled data to perform algorithm testing and sensor modeling is well established.
With growing interest in the acquisition and exploitation of polarimetric imagery, there is a need to perform
similar comparisons for this imaging modality.
This paper will describe the efforts to reproduce polarimetric imagery acquired of a real world scene in a
synthetic image generation environment. Real data was collected with the Wildfire Airborne Sensor
Program-Lite (WASP-Lite) imaging system using three separate cameras to acquire simultaneously three polarization
orientations. Modeled data were created using the Digital Imaging and Remote Sensing Image Generation
(DIRSIG) model. This model utilizes existing tools such as polarized bi-directional reflectance distribution
functions (pBRDF), polarized atmospheric models, and
polarization-sensitive sensor models to recreate polarized
imagery. Results will show comparisons between the real and synthetic imagery, highlighting successes in the
model as well as areas where improved fidelity is required.
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David Pogorzala, Scott Brown, David Messinger, Chabitha Devaraj, "Recreation of a nominal polarimetric scene using synthetic modeling tools," Proc. SPIE 6565, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIII, 65650Z (7 May 2007); https://doi.org/10.1117/12.721207