Progress toward unifying the discipline of subsurface sensing and imaging systems

2000 ◽  
Author(s):  
Michael B. Silevitch ◽  
Stephen W. McKnight
Keyword(s):  
Imaging Systems ◽  
Subsurface Sensing ◽  
Subsurface Sensing And Imaging

Common framework of subsurface sensing and imaging

1999 ◽  
Author(s):  
Michael B. Silevitch ◽  
Stephen W. McKnight ◽  
Carey M. Rappaport
Keyword(s):  
Subsurface Sensing ◽  
Common Framework ◽  
Subsurface Sensing And Imaging

Multimode subsurface sensing and imaging for land mine detection

2000 ◽  
Author(s):  
Carey M. Rappaport ◽  
Michael B. Silevitch ◽  
Stephen W. McKnight ◽  
Charles A. DiMarzio ◽  
Eric L. Miller ◽  
...  
Keyword(s):  
Mine Detection ◽  
Subsurface Sensing ◽  
Land Mine ◽  
Land Mine Detection ◽  
Subsurface Sensing And Imaging

scholarly journals Compact Matrix-Exponential-Based FDTD with Second-Order PML and Direct Z-Transform for Modeling Complex Subsurface Sensing and Imaging Problems

2020 ◽  
Vol 13 (1) ◽  
pp. 94
Author(s):  
Naixing Feng ◽  
Yuxian Zhang ◽  
Guo Ping Wang ◽  
Qingsheng Zeng ◽  
William T. Joines
Keyword(s):  
Fdtd Method ◽  
Second Order ◽  
Matrix Exponential ◽  
Open Domain ◽  
First Order ◽  
Subsurface Sensing ◽  
The Matrix ◽  
Difference Time ◽  
Differential Matrix ◽  
Subsurface Sensing And Imaging

To simulate complex subsurface sensing and imaging problems with both propagating and evanescent waves by the finite-difference time-domain (FDTD) method, the highly-accurate second-order perfectly matched layer (SO-PML) formulations based on the direct Z-transform (DZT) and the matrix exponential (ME) techniques are compactly and efficiently proposed for modeling open-domain problems. During mathematical deductions, several manipulations, for example, convolution computations, formulation reorganizations, or variable substitutions, can be circumvented due to the fact that the ME-based method shows a compact first-order differential matrix form. Besides, any material attributes can be completely circumvented because of using electric and magnetic flux densities, consequently, the proposed DZT-SO-PML could be applied without needing any alteration. Moreover, the DZT-SO-PML method can not only preserve better absorption accuracies, but also attain palpable improvements in computational efficiencies, even if the distance between the DSP-SO-PML truncation and the target becomes closer for modeling 3D open-domain subsurface sensing and imaging problems. Finally, numerical examples have been carried out to illustrate and validate these proposed formulations.

Digital imaging and quantitative image analysis of polymer blends

1996 ◽  
Vol 54 ◽  
pp. 170-171
Author(s):  
Xiao Zhang
Keyword(s):  
Digital Imaging ◽  
Imaging Techniques ◽  
Imaging Systems ◽  
Polymer Science ◽  
Key Factors ◽  
Multiple Imaging ◽  
Quantitative Image ◽  
Digital Imaging Systems ◽  
Multi Phase ◽  
Network Technologies

Polymer microscopy involves multiple imaging techniques. Speed, simplicity, and productivity are key factors in running an industrial polymer microscopy lab. In polymer science, the morphology of a multi-phase blend is often the link between process and properties. The extent to which the researcher can quantify the morphology determines the strength of the link. To aid the polymer microscopist in these tasks, digital imaging systems are becoming more prevalent. Advances in computers, digital imaging hardware and software, and network technologies have made it possible to implement digital imaging systems in industrial microscopy labs.

Golay Coded Sequences in Synthetic Aperture Imaging Systems

2011 ◽  
Vol 36 (4) ◽  
Author(s):  
Ihor Trots ◽  
Yuriy Tasinkevych ◽  
Andrzej Nowicki ◽  
Marcin Lewandowski
Keyword(s):  
Imaging Systems ◽  
Synthetic Aperture ◽  
Synthetic Aperture Imaging
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