Imaging spectrometer design for high data fidelity (Conference Presentation)

2017 ◽  
Author(s):  
Pantazis Mouroulis
Keyword(s):  
Imaging Spectrometer ◽  
High Data ◽  
Data Fidelity

scholarly journals Regularization Destriping of Remote Sensing Imagery

2016 ◽  
Author(s):  
Ranil Basnayake ◽  
Erik Bollt ◽  
Nicholas Tufillaro ◽  
Jie Sun ◽  
Michelle Gierach
Keyword(s):  
Infrared Imaging ◽  
Lagrange Equations ◽  
Data Set ◽  
Imaging Spectrometer ◽  
Remote Imaging ◽  
Benchmark Data ◽  
Data Gaps ◽  
Technical Details ◽  
Data Fidelity ◽  
Explicit Finite Difference

Abstract. We illustrate the utility of variational destriping for ocean color images from both mulitspectral and hyperspectral sensors. In particular, we examine data from a filter spectrometer, the Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi National Polar Partnership (NPP) orbiter, and an airborne grating spectrometer, the Jet Population Laboratory's (JPL) hyperspectral Portable Remote Imaging Spectrometer (PRISM) sensor. We solve the destriping problem using a variational regularization method by giving weights spatially to preserve the other features of the image during the destriping process. The target functional penalizes `the neighborhood of stripes' (strictly, directionally uniform features) while promoting data fidelity, and the functional is minimized by solving the Euler-Lagrange equations with an explicit finite difference scheme. We show the accuracy of our method from a benchmark data set which represents the Sea Surface Temperature off the Coast of Oregon, USA. Technical details, such as how to impose continuity across data gaps using inpainting, are also described.

Effect of scattering noise on the data fidelity of holograms recorded in photorefractive crystals

2001 ◽  
Vol 674 ◽  
Author(s):  
Mingyan Qin ◽  
Shiquan Tao ◽  
Guoqing Liu ◽  
Xiaohong Ding ◽  
Dayong Wang
Keyword(s):  
Lithium Niobate ◽  
Data Storage ◽  
Signal To Noise Ratio ◽  
Low Noise ◽  
Holographic Storage ◽  
Photorefractive Crystals ◽  
High Data ◽  
Iron And Zinc ◽  
Data Fidelity ◽  
Scattering Noise

ABSTRACTIn this paper a method is proposed to investigate how the scattering noise of photorefractive crystals influences the quality of an input data page in holographic storage. By illuminating the crystal under investigation with an intense coherent light beam, and measuring the signal-to-noise ratio (SNR) of an image formed through the crystal before and after the exposure, the loss of SNR provides a good assessment for the suitability of the crystal for data storage. A variety of doped lithium niobate crystals were investigated. The results show that the intensity of fanning light increases with increase of the doping concentration, but there is no strict correlation between the fanning strength and the fidelity degradation. Owing to the low noise and high data fidelity, iron-and- zinc co-doped lithium niobate crystal is a potential material for high-density holographic data storage.

scholarly journals FLIPR: A New Instrument for Accurate, High Throughput Optical Screening

1996 ◽  
Vol 1 (2) ◽  
pp. 75-80 ◽  
Author(s):  
Kirk S. Schroeder ◽  
Brad D. Neagle
Keyword(s):  
Integrated Design ◽  
Fluorescent Imaging ◽  
Imaging Plate ◽  
High Data ◽  
Fluid Handling ◽  
Data Throughput ◽  
New Instrument ◽  
Plate Reader ◽  
Data Fidelity ◽  
Screening Assays

Modern optical screening assays demand high data throughput along with uncompromised data fidelity. FLIPR (Fluorescent Imaging Plate Reader) was developed to perform quantitative optical screening for cell-based kinetic assays. FLIPR incorporates an integrated design, including low-level optical detection, precise temperature control, and precise fluid handling, all in one package. The unique aspect of FLIPR is that all 96 wells of a standard microplate are stimulated and optically measured simultaneously. Kinetic updates on all 96 wells can be obtained in under 1 sec, allowing for transient signals to be quantified. Demonstrated applications include measurements of intracellular calcium, intracellular pH, and membrane potential.

Real-Time Denoising of Brillouin Optical Time Domain Analyzer With High Data Fidelity Using Convolutional Neural Networks

2019 ◽  
Vol 37 (11) ◽  
pp. 2648-2653 ◽  
Author(s):  
Hao Wu ◽  
Yangyang Wan ◽  
Ming Tang ◽  
Yunjin Chen ◽  
Can Zhao ◽  
...  
Keyword(s):  
Neural Networks ◽  
Real Time ◽  
Convolutional Neural Networks ◽  
Time Domain ◽  
High Data ◽  
Data Fidelity ◽  
Optical Time

scholarly journals Regularization destriping of remote sensing imagery

2017 ◽  
Vol 24 (3) ◽  
pp. 367-378 ◽  
Author(s):  
Ranil Basnayake ◽  
Erik Bollt ◽  
Nicholas Tufillaro ◽  
Jie Sun ◽  
Michelle Gierach
Keyword(s):  
Infrared Imaging ◽  
Lagrange Equations ◽  
Data Set ◽  
Imaging Spectrometer ◽  
Remote Imaging ◽  
Benchmark Data ◽  
Data Gaps ◽  
Technical Details ◽  
Data Fidelity ◽  
Explicit Finite Difference

Abstract. We illustrate the utility of variational destriping for ocean color images from both multispectral and hyperspectral sensors. In particular, we examine data from a filter spectrometer, the Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi National Polar Partnership (NPP) orbiter, and an airborne grating spectrometer, the Jet Population Laboratory's (JPL) hyperspectral Portable Remote Imaging Spectrometer (PRISM) sensor. We solve the destriping problem using a variational regularization method by giving weights spatially to preserve the other features of the image during the destriping process. The target functional penalizes the neighborhood of stripes (strictly, directionally uniform features) while promoting data fidelity, and the functional is minimized by solving the Euler–Lagrange equations with an explicit finite-difference scheme. We show the accuracy of our method from a benchmark data set which represents the sea surface temperature off the coast of Oregon, USA. Technical details, such as how to impose continuity across data gaps using inpainting, are also described.

Design of a tunable time-delay element using multiple gain lines for increased fractional delay with high data fidelity

2007 ◽  
Vol 32 (14) ◽  
pp. 1986 ◽  
Author(s):  
Zhimin Shi ◽  
Ravi Pant ◽  
Zhaoming Zhu ◽  
Michael D. Stenner ◽  
Mark A. Neifeld ◽  
...  
Keyword(s):  
Time Delay ◽  
Delay Element ◽  
High Data ◽  
Fractional Delay ◽  
Data Fidelity
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