Polarimetric Wavelet Fractal Remote Sensing Principles for Space Materials (Preprint)
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 04, 2012
- Accession Number
- ADA570074
Entities
People
- Chaya Narayan
- George C. Giakos
- Jeff Petermann
- Patrick J. Mcnicholl
- Peter N. Crabtree
- Phan D. Dao
- Richard H. Picard
- Stefanie Marotta
- Suman Shrestha
Organizations
- University of Akron