scholarly journals Editorial for “Evaluating High Spatial Resolution Diffusion Kurtosis Imaging at 3T : Reproducibility and Quality of Fit”

2020 ◽  
Author(s):  
Pim Pullens
Keyword(s):  
Spatial Resolution ◽  
High Spatial Resolution ◽  
Diffusion Kurtosis Imaging ◽  
Diffusion Kurtosis ◽  
Quality Of Fit

scholarly journals Evaluating High Spatial Resolution Diffusion Kurtosis Imaging at 3T : Reproducibility and Quality of Fit

2020 ◽  
Author(s):  
Loxlan W. Kasa ◽  
Roy A.M. Haast ◽  
Tristan K. Kuehn ◽  
Farah N. Mushtaha ◽  
Corey A. Baron ◽  
...  
Keyword(s):  
Spatial Resolution ◽  
High Spatial Resolution ◽  
Diffusion Kurtosis Imaging ◽  
Diffusion Kurtosis ◽  
Quality Of Fit

Effects of signal averaging, gradient encoding scheme, and spatial resolution on diffusion kurtosis imaging: An empirical study using 7T MRI

2019 ◽  
Vol 50 (5) ◽  
pp. 1593-1603
Author(s):  
Chia‐Wen Chiang ◽  
Shih‐Yen Lin ◽  
Kuan‐Hung Cho ◽  
Kuo‐Jen Wu ◽  
Yun Wang ◽  
...  
Keyword(s):  
Empirical Study ◽  
Spatial Resolution ◽  
Diffusion Kurtosis Imaging ◽  
Signal Averaging ◽  
Encoding Scheme ◽  
Diffusion Kurtosis

scholarly journals Monitoring of Snow Cover Ablation Using Very High Spatial Resolution Remote Sensing Datasets

2019 ◽  
Vol 11 (6) ◽  
pp. 699
Author(s):  
Remzi Eker ◽  
Yves Bühler ◽  
Sebastian Schlögl ◽  
Andreas Stoffel ◽  
Abdurrahim Aydın
Keyword(s):  
Remote Sensing ◽  
Time Series ◽  
Snow Cover ◽  
Spatial Resolution ◽  
High Spatial Resolution ◽  
Areal Extent ◽  
Very High Spatial Resolution ◽  
Short Time ◽  
Very High

This study tested the potential of a short time series of very high spatial resolution (cm to dm) remote sensing datasets obtained from unmanned aerial system (UAS)-based photogrammetry and terrestrial laser scanning (TLS) to monitor snow cover ablation in the upper Dischma valley (Davos, Switzerland). Five flight missions (for UAS) and five scans (for TLS) were carried out simultaneously: Four during the snow-covered period (9, 10, 11, and 27 May 2016) and one during the snow-free period (24 June 2016 for UAS and 31 May 2016 for TLS). The changes in both the areal extent of the snow cover and the snow depth (HS) were assessed together in the same case study. The areal extent of the snow cover was estimated from both UAS- and TLS-based orthophotos by classifying pixels as snow-covered and snow-free based on a threshold value applied to the blue band information of the orthophotos. Also, the usage possibility of TLS-based orthophotos for mapping snow cover was investigated in this study. The UAS-based orthophotos provided higher overall classification accuracy (97%) than the TLS-based orthophotos (86%) and allowed for mapping snow cover in larger areas than the ones from TLS scans by preventing the occurrence of gaps in the orthophotos. The UAS-based HS were evaluated and compared to TLS-based HS. Initially, the CANUPO (CAractérisation de NUages de POints) binary classification method, a proposed approach for improving the quality of models to obtain more accurate HS values, was applied to the TLS 3D raw point clouds. In this study, the use of additional artificial ground control points (GCPs) was also proposed to improve the quality of UAS-based digital elevation models (DEMs). The UAS-based HS values were mapped with an error of around 0.1 m during the time series. Most pixels representing change in the HS derived from the UAS data were consistent with the TLS data. The time series used in this study allowed for testing of the significance of the data acquisition interval in the monitoring of snow ablation. Accordingly, this study concluded that both the UAS- and TLS-based high-resolution DSMs were biased in detecting change in HS, particularly for short time spans, such as a few days, where only a few centimeters in HS change occur. On the other hand, UAS proved to be a valuable tool for monitoring snow ablation if longer time intervals are chosen.

scholarly journals Variational Bayesian Pansharpening with Super-Gaussian Sparse Image Priors

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5308
Author(s):  
Fernando Pérez-Bueno ◽  
Miguel Vega ◽  
Javier Mateos ◽  
Rafael Molina ◽  
Aggelos K. Katsaggelos
Keyword(s):  
Spatial Resolution ◽  
High Spatial Resolution ◽  
Synthetic Data ◽  
Multispectral Image ◽  
Experimental Results ◽  
Spectral Information ◽  
Variational Bayesian ◽  
Observation Process ◽  
Image Priors

Pansharpening is a technique that fuses a low spatial resolution multispectral image and a high spatial resolution panchromatic one to obtain a multispectral image with the spatial resolution of the latter while preserving the spectral information of the multispectral image. In this paper we propose a variational Bayesian methodology for pansharpening. The proposed methodology uses the sensor characteristics to model the observation process and Super-Gaussian sparse image priors on the expected characteristics of the pansharpened image. The pansharpened image, as well as all model and variational parameters, are estimated within the proposed methodology. Using real and synthetic data, the quality of the pansharpened images is assessed both visually and quantitatively and compared with other pansharpening methods. Theoretical and experimental results demonstrate the effectiveness, efficiency, and flexibility of the proposed formulation.

High spatial resolution AEM observations of yttrium segregation in chromia scales grown on Co-45%Cr

1986 ◽  
Vol 44 ◽  
pp. 518-519
Author(s):  
K. Przybylski ◽  
A. J. Garratt-Reed ◽  
G. J. Yurek
Keyword(s):  
Spatial Resolution ◽  
Outer Surface ◽  
Maximum Concentration ◽  
High Spatial Resolution ◽  
Reactive Elements ◽  
Chromia Scales

The addition of so-called “reactive” elements such as yttrium to alloys is known to enhance the protective nature of Cr2O3 or Al2O3 scales. However, the mechanism by which this enhancement is achieved remains unclear. An A.E.M. study has been performed of scales grown at 1000°C for 25 hr. in pure O2 on Co-45%Cr implanted at 70 keV with 2x1016 atoms/cm2 of yttrium. In the unoxidized alloys it was calculated that the maximum concentration of Y was 13.9 wt% at a depth of about 17 nm. SIMS results showed that in the scale the yttrium remained near the outer surface.

Integration of Core-Edge Spectroscopy Methods for the Study of Polymers

1996 ◽  
Vol 54 ◽  
pp. 154-155
Author(s):  
E. G. Rightor
Keyword(s):  
Excited State ◽  
Polymer Blends ◽  
Gas Phase ◽  
Spatial Resolution ◽  
High Spatial Resolution ◽  
Electronic States ◽  
Core Electron ◽  
Bulk Solids ◽  
Development Application

Core edge spectroscopy methods are versatile tools for investigating a wide variety of materials. They can be used to probe the electronic states of materials in bulk solids, on surfaces, or in the gas phase. This family of methods involves promoting an inner shell (core) electron to an excited state and recording either the primary excitation or secondary decay of the excited state. The techniques are complimentary and have different strengths and limitations for studying challenging aspects of materials. The need to identify components in polymers or polymer blends at high spatial resolution has driven development, application, and integration of results from several of these methods.

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