Polarimeter Blind Deconvolution Using Image Diversity - Softcover

Strong, David M

Softcover

ISBN 10: 1288417128 ISBN 13: 9781288417124

Publisher: BiblioBazaar, LLC, 2012

Synopsis

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.

Edition details

• Publisher: BiblioBazaar, LLC
• Publication date: 2012
• Language: English
• ISBN 10: 1288417128
• ISBN 13: 9781288417124
• Binding: Paperback
• Number of pages: 136