Andere Kunden interessierten sich auch für
![Blind Deconvolution through Polarization Diversity of Long Exposure Imagery]( "Blind Deconvolution through Polarization Diversity of Long Exposure Imagery")
Blind Deconvolution through Polarization Diversity of Long Exposure Imagery60,99 €![Blind Deconvolution of Anisoplanatic Images Collected by a Partially Coherent Imaging System]( "Blind Deconvolution of Anisoplanatic Images Collected by a Partially Coherent Imaging System")
Blind Deconvolution of Anisoplanatic Images Collected by a Partially Coherent Imaging System60,99 €![Statistical Image Recovery from Laser Speckle Patterns with Polarization Diversity]( "Statistical Image Recovery from Laser Speckle Patterns with Polarization Diversity")
Statistical Image Recovery from Laser Speckle Patterns with Polarization Diversity60,99 €![Forensics Image Background Matching Using Scale Invariant Feature Transform and Speeded up Robust Features]( "Forensics Image Background Matching Using Scale Invariant Feature Transform and Speeded up Robust Features")
Forensics Image Background Matching Using Scale Invariant Feature Transform and Speeded up Robust Features60,99 €![Improved Hyperspectral Image Testing Using Synthetic Imagery and Factorial Designed Experiments]( "Improved Hyperspectral Image Testing Using Synthetic Imagery and Factorial Designed Experiments")
Improved Hyperspectral Image Testing Using Synthetic Imagery and Factorial Designed Experiments61,99 €![Image Fusion Using Autoassociative-Heteroassociative Neural Networks]( "Image Fusion Using Autoassociative-Heteroassociative Neural Networks")
Image Fusion Using Autoassociative-Heteroassociative Neural Networks60,99 €![Particle Image Velocimetry Using Novel, Non-Intrusive Particle Seeding]( "Particle Image Velocimetry Using Novel, Non-Intrusive Particle Seeding")
Particle Image Velocimetry Using Novel, Non-Intrusive Particle Seeding63,99 €
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.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.