Full-field, high-spatial-resolution detection of local structural damage from low-resolution random strain field measurements

2017 ◽  
Vol 399 ◽  
pp. 75-85 ◽  
Author(s):  
Yongchao Yang ◽  
Peng Sun ◽  
Satish Nagarajaiah ◽  
Sergei M. Bachilo ◽  
R. Bruce Weisman
Keyword(s):  
Spatial Resolution ◽  
Strain Field ◽  
Structural Damage ◽  
High Spatial Resolution ◽  
Field Measurements ◽  
Low Resolution ◽  
Full Field

High spatial resolution full-field microscopy using a desktop-size soft x-ray laser

2007 ◽  
Author(s):  
Courtney A. Brewer ◽  
Fernando Brizuela ◽  
Dale Martz ◽  
Georgiy Vaschenko ◽  
Mario C. Marconi ◽  
...  
Keyword(s):  
Spatial Resolution ◽  
High Spatial Resolution ◽  
Full Field ◽  
X Ray

High spatial resolution Hall sensor array for edge plasma magnetic field measurements

2005 ◽  
Vol 76 (9) ◽  
pp. 093501 ◽  
Author(s):  
Yuhong Liu ◽  
David A. Maurer ◽  
Gerald A. Navratil ◽  
Nicholas Rivera
Keyword(s):  
Magnetic Field ◽  
Spatial Resolution ◽  
Sensor Array ◽  
High Spatial Resolution ◽  
Field Measurements ◽  
Hall Sensor ◽  
Edge Plasma ◽  
Magnetic Field Measurements

scholarly journals Lunar Image Fusion using Wavelet Transform

2013 ◽  
pp. 211-215
Author(s):  
Dr.Vani. K ◽  
Anto. A. Micheal
Keyword(s):  
High Resolution ◽  
Image Fusion ◽  
Spatial Resolution ◽  
Spectral Resolution ◽  
Lunar Surface ◽  
High Spatial Resolution ◽  
Multispectral Image ◽  
High Spectral Resolution ◽  
Low Resolution ◽  
Mineral Mapping

This paper is an attempt to combine high resolution panchromatic lunar image with low resolution multispectral lunar image to produce a composite image using wavelet approach. There are many sensors that provide us image data about the lunar surface. The spatial resolution and spectral resolution is unique for each sensor, thereby resulting in limitation in extraction of information about the lunar surface. The high resolution panchromatic lunar image has high spatial resolution but low spectral resolution; the low resolution multispectral image has low spatial resolution but high spectral resolution. Extracting features such as craters, crater morphology, rilles and regolith surfaces with a low spatial resolution in multispectral image may not yield satisfactory results. A sensor which has high spatial resolution can provide better information when fused with the high spectral resolution. These fused image results pertain to enhanced crater mapping and mineral mapping in lunar surface. Since fusion using wavelet preserve spectral content needed for mineral mapping, image fusion has been done using wavelet approach.

scholarly journals Self-Dictionary Regression for Hyperspectral Image Super-Resolution

2018 ◽  
Vol 10 (10) ◽  
pp. 1574 ◽  
Author(s):  
Dongsheng Gao ◽  
Zhentao Hu ◽  
Renzhen Ye
Keyword(s):  
High Resolution ◽  
Spatial Resolution ◽  
Spectral Resolution ◽  
Cross Correlation ◽  
Hyperspectral Image ◽  
High Spatial Resolution ◽  
Super Resolution ◽  
High Spectral Resolution ◽  
Low Resolution ◽  
Image Super Resolution

Due to sensor limitations, hyperspectral images (HSIs) are acquired by hyperspectral sensors with high-spectral-resolution but low-spatial-resolution. It is difficult for sensors to acquire images with high-spatial-resolution and high-spectral-resolution simultaneously. Hyperspectral image super-resolution tries to enhance the spatial resolution of HSI by software techniques. In recent years, various methods have been proposed to fuse HSI and multispectral image (MSI) from an unmixing or a spectral dictionary perspective. However, these methods extract the spectral information from each image individually, and therefore ignore the cross-correlation between the observed HSI and MSI. It is difficult to achieve high-spatial-resolution while preserving the spatial-spectral consistency between low-resolution HSI and high-resolution HSI. In this paper, a self-dictionary regression based method is proposed to utilize cross-correlation between the observed HSI and MSI. Both the observed low-resolution HSI and MSI are simultaneously considered to estimate the endmember dictionary and the abundance code. To preserve the spectral consistency, the endmember dictionary is extracted by performing a common sparse basis selection on the concatenation of observed HSI and MSI. Then, a consistent constraint is exploited to ensure the spatial consistency between the abundance code of low-resolution HSI and the abundance code of high-resolution HSI. Extensive experiments on three datasets demonstrate that the proposed method outperforms the state-of-the-art methods.

Microscale Laser Shock Peening of Thin Films, Part 2: High Spatial Resolution Material Characterization

2004 ◽  
Vol 126 (1) ◽  
pp. 18-24 ◽  
Author(s):  
Wenwu Zhang ◽  
Y. Lawrence Yao ◽  
I. C. Noyan
Keyword(s):  
Thin Films ◽  
Spatial Resolution ◽  
Strain Field ◽  
High Spatial Resolution ◽  
Laser Shock Peening ◽  
Laser Shock ◽  
Stress Strain ◽  
Crystal Silicon ◽  
X Ray ◽  
Shock Peening

Microscale Laser Shock Peening (LSP) is a technique that can be potentially applied to manipulate the residual stress distributions in metal film structures and thus improve the reliability of micro-devices. This paper reports high-spatial-resolution characterization of shock treated copper thin films on single-crystal silicon substrates, where scanning x-ray microtopography is used to map the relative variation of the stress/strain field with micron spatial resolution, and instrumented nanoindentation is applied to measure the distribution of hardness and deduce the sign of the stress/strain field. The measurement results are also compared with 3-D simulation results. The general trends in simulations agree with those from experimental measurements. Simulations and experiments show that there is a near linear correlation between strain energy density at the film-substrate interface and the X-ray diffraction intensity contrast.

scholarly journals Upscaling Tree Demography to Heterogenous Landscapes Using Models and Remote Sensing

2021 ◽  
Author(s):  
Cristina Barber
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Spatial Resolution ◽  
Hierarchical Structure ◽  
High Spatial Resolution ◽  
Field Measurements ◽  
Agricultural Landscapes ◽  
Neighbor Interaction ◽  
Heterogeneous Landscapes ◽  
Tree Demography

Tree demography is foundational to ecology and conservation, from mass tree die-offs to forest recovery. Plot-level studies of tree demography, including field measurements of tagged individuals, have been fundamental for developing ecological theory and forest management strategies. However, the limited spatial extent of field plots impedes generalizing plot-level models for spatial predictions across heterogeneous landscapes. Novel high-spatial resolution remote sensing imagery has opened the possibility for measuring tree demographic rates with continuous spatial coverage at landscape to regional extents. Remote sensing derived measurements could address pressing research questions, including disentangling causes of high variation in natural regeneration across secondary forest landscapes. Despite the promise of high-spatial resolution imagery for ecology, applying these data to ecological questions will require novel modeling approaches that can account for large amounts of spatial data that often include hierarchical structure. In this thesis, I apply high-resolution remote sensing to upscale tree demography at landscape scales, and provide guidelines for ecologists seeking to parametrize spatially explicit models for neighbor interactions by combining field data, high-resolution remote sensing, and Bayesian quantitative methods. Chapter 1 demonstrates how high-spatial resolution remote sensing can help improve predictions of tree recruitment at the landscape scale. This chapter is the first step towards new support tools that inform restoration projects about where and which species will regenerate naturally in agricultural landscapes. Chapter 2 addresses how to optimize neighbor interaction models using the Hamiltonian Monte Carlo algorithm. I demonstrate how ragged matrices could solve data storage inefficiencies associated with the neighbor interaction models' pairwise structure. I also provide code for a model parametrization that solves a sampling pathology associated with high correlation in hierarchical structures and an overview of metrics to assess when this hierarchical structure pathology is present. Chapter 3 explores the influence of biophysical and anthropogenic drivers on tree mortality in agricultural landscapes using high-resolution remote sensing data. The results suggest that accessibility and land management are core factors that could be managed to prevent the mortality of agricultural trees. Educational initiatives and new policies that address anthropogenic factors could be the answer to reduce agricultural tree loss. Overall, this thesis brings together Bayesian statistical methods with novel high-resolution remote sensing to overcome the spatial limitation of field measurements and produce spatial predictions and inference on drivers of tree demography across heterogeneous landscapes.

Identification of the Through-Thickness Orthotropic Stiffness of Composite Tubes from Full-Field Measurements

2006 ◽  
Vol 3-4 ◽  
pp. 161-166 ◽  
Author(s):  
Raphaël Moulart ◽  
Stephane Avril ◽  
Fabrice Pierron
Keyword(s):  
Simultaneous Measurement ◽  
Strain Field ◽  
Grid Method ◽  
Field Measurements ◽  
Virtual Fields Method ◽  
Inhomogeneous Distribution ◽  
Epoxy Ring ◽  
Full Field ◽  
Simultaneous Identification ◽  
Diametral Compression Test

This paper deals with the simultaneous identification of the four through-thickness orthotropic rigidities of a thick composite tube. A diametral compression test has been carried out on a glass/epoxy ring cut from the tube. The full strain field has been measured over one face of the sample with the grid method. The measured fields have been processed with the Virtual Fields Method to identify the rigidities of the material. At the beginning, discrepancies and significant variations occurred in the identified moduli due to inhomogeneous distribution of the strains through the thickness. A method based on a simultaneous measurement on both sides of the ring has been adopted. Very satisfactory results have been obtained using this methodology.

Macro and Micro Full Field X-Ray Fluorescence with an X-Ray Pinhole Camera Presenting High Energy and High Spatial Resolution

2014 ◽  
Vol 86 (21) ◽  
pp. 10892-10899 ◽  
Author(s):  
Francesco Paolo Romano ◽  
Claudia Caliri ◽  
Luigi Cosentino ◽  
Santo Gammino ◽  
Lorenzo Giuntini ◽  
...  
Keyword(s):  
Spatial Resolution ◽  
High Spatial Resolution ◽  
High Energy ◽  
Pinhole Camera ◽  
Full Field ◽  
X Ray
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