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8 June 2012 Polarimetric wavelet fractal remote sensing principles for space materials
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Abstract
A new remote sensing approach based on polarimetric wavelet fractal detection principles is introduced and the Mueller matrix formalism is defined, aimed at enhancing the detection, identification, characterization, and discrimination of unresolved space objects at different aspect angles. The design principles of a multifunctional liquid crystal monostatic polarimetric ladar are introduced and related to operating conditions and system performance metrics. Backscattered polarimetric signal contributions from different space materials were detected using a laboratory ladar testbed, and then analyzed using techniques based on wavelets and fractals. The depolarization, diattenuation, and retardance of the materials were estimated using Mueller matrix decomposition for different aspect angles. The outcome of this study indicates that polarimetric fractal wavelet principles may enhance the capabilities of the ladar to provide characterization and discrimination of unresolved space objects.
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George C. Giakos, Richard H. Picard, Phan D. Dao, Peter N. Crabtree, Patrick J. McNicholl, Jeff Petermann, Suman Shrestha, Chaya Narayan, and Stefanie Marotta "Polarimetric wavelet fractal remote sensing principles for space materials", Proc. SPIE 8364, Polarization: Measurement, Analysis, and Remote Sensing X, 836405 (8 June 2012); doi: 10.1117/12.920487; https://doi.org/10.1117/12.920487
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