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portada Polarimeter Blind Deconvolution Using Image Diversity
Type
Physical Book
Author
Publisher
Language
English
Pages
138
Format
Paperback
Dimensions
24.6 x 18.9 x 0.8 cm
Weight
0.26 kg.
ISBN13
9781288417124
Categories

Polarimeter Blind Deconvolution Using Image Diversity

David M. Strong (Author) · Biblioscholar · Paperback

Polarimeter Blind Deconvolution Using Image Diversity - Strong, David M.

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Synopsis "Polarimeter Blind Deconvolution Using Image Diversity"

This research presents an algorithm that improves the ability to view objects using an electro-optical imaging system withat least one polarization sensitive channel in addition tothe primary channel. An innovative algorithm for detection and estimation of the defocus aberration present in an image is also developed. Using a known defocus aberration, an iterative polarimeter deconvolution algorithm is developed using a generalized expectation-maximization (GEM) model. The polarimeter deconvolution algorithm is extended to an iterative polarimeter multiframe blind deconvolution (PMFBD) algorithm with an unknown aberration. Using both simulated and laboratory images, the results of the new PMFBD algorithm clearly outperforms an RL-based MFBD algorithm. The convergence rate is significantly faster with better fidelity of reproduction of the targets. Clearly, leveraging polarization data in electro-optical imaging systems has the potential to significantly improve the ability to resolve objectsand, thus, improve Space Situation Awareness.

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