The objective of the study is to present integrative paradigms highlighting their applicability of polarimetry to multidisciplinary areas such as space defense and bioscience applications. Polarimetric sensing and imaging offer unique advantages for a wide range of detection and classification problems due to the intrinsic potential for high contrast in different polarization components of the backscattered light. Indeed, polarized imaging can yield high-specificity images under high-dynamic range and extreme condition scenarios, in scattering media, or cluttered environments, offering at the same instance information related to the object material composition and its surface characteristics. In this study, a new imaging approach based on polarimetric detection principles will be introduced and the Mueller matrix formalism will be defined, and will be applied for space applications, such as detection of unresolved objects, as well as for early cancer detection. The design principles of the liquid crystal polarimetric imaging system will be introduced and related to operating conditions and system performance metrics. The depolarization, diattenuation, and retardance of the materials will be estimated using Mueller matrix decomposition for different aspect angles.
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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