On‐line movies of reflection seismic data with description of a movie machine

Geophysics ◽  
1984 ◽  
Vol 49 (2) ◽  
pp. 195-200 ◽  
Author(s):  
Richard Ottolini ◽  
Charles Sword ◽  
Jon F. Claerbout
Keyword(s):  
Seismic Data ◽  
Three Dimensional ◽  
Data Cube ◽  
Reflection Seismic ◽  
On Line

On‐line movies are an exciting way to view reflection seismic data. We make a movie by slicing through a three‐dimensional (3-D) seismic data cube in a selected direction (Figure 1). By sweeping through the data fast enough, it is possible to get another perspective of what is going on in the data than by examining still frames. By twiddling various knobs and buttons, we can zoom onto a zone of interest, magnify it, rotate it, and change the color to emphasize a feature of interest.

Obtaining three‐dimensional velocity information directly from reflection seismic data: An inverse scattering formalism

Geophysics ◽  
1981 ◽  
Vol 46 (8) ◽  
pp. 1116-1120 ◽  
Author(s):  
A. B. Weglein ◽  
W. E. Boyse ◽  
J. E. Anderson
Keyword(s):  
Wave Equation ◽  
Acoustic Wave ◽  
Inverse Scattering ◽  
Seismic Data ◽  
A Priori ◽  
Three Dimensional ◽  
Quantum Scattering ◽  
Acoustic Wave Equation ◽  
Reflection Seismic ◽  
The One

We present a formalism for obtaining the subsurface velocity configuration directly from reflection seismic data. Our approach is to apply the results obtained for inverse problems in quantum scattering theory to the reflection seismic problem. In particular, we extend the results of Moses (1956) for inverse quantum scattering and Razavy (1975) for the one‐dimensional (1-D) identification of the acoustic wave equation to the problem of identifying the velocity in the three‐dimensional (3-D) acoustic wave equation from boundary value measurements. No a priori knowledge of the subsurface velocity is assumed and all refraction, diffraction, and multiple reflection phenomena are taken into account. In addition, we explain how the idea of slant stack in processing seismic data is an important part of the proposed 3-D inverse scattering formalism.

Slicing and Dicing a Linguistic Data Cube

2010 ◽  
pp. 288-300
Author(s):  
Jan H. Kroeze
Keyword(s):  
Data Warehousing ◽  
Three Dimensional ◽  
Data Cube ◽  
Semantic Role ◽  
Syntactic Structures ◽  
Analytical Technique ◽  
Linguistic Data ◽  
Genesis 1 ◽  
On Line ◽  
Analytical Processing

This chapter discusses the application of some data warehousing techniques on a data cube of linguistic data. The results of various modules of clausal analysis can be stored in a three-dimensional data cube in order to facilitate on-line analytical processing of data by means of three-dimensional arrays. Slicing is such an analytical technique, which reveals various dimensions of data and their relationships to other dimensions. By using this data warehousing facility the clause cube can be viewed or manipulated to reveal, for example, phrases and clauses, syntactic structures, semantic role frames, or a two-dimensional representation of a particular clause’s multi-dimensional analysis in table format. These functionalities are illustrated by means of the Hebrew text of Genesis 1:1-2:3. The authors trust that this chapter will contribute towards efficient storage and advanced processing of linguistic data.

Design and calibration of an IVEM for general 3-dimensional imaging of non-diffracting materials

1992 ◽  
Vol 50 (2) ◽  
pp. 1040-1041
Author(s):  
Neil Rowlands ◽  
Jeff Price ◽  
Michael Kersker ◽  
Seichi Suzuki ◽  
Steve Young ◽  
...  
Keyword(s):  
3D Imaging ◽  
Tomographic Reconstruction ◽  
Three Dimensional ◽  
3 Dimensional ◽  
3D Microstructure ◽  
Image Translation ◽  
Digital Correlation ◽  
On Line ◽  
Mechanical Stage ◽  
Projection Angle

Three-dimensional (3D) microstructure visualization on the electron microscope requires that the sample be tilted to different positions to collect a series of projections. This tilting should be performed rapidly for on-line stereo viewing and precisely for off-line tomographic reconstruction. Usually a projection series is collected using mechanical stage tilt alone. The stereo pairs must be viewed off-line and the 60 to 120 tomographic projections must be aligned with fiduciary markers or digital correlation methods. The delay in viewing stereo pairs and the alignment problems in tomographic reconstruction could be eliminated or improved by tilting the beam if such tilt could be accomplished without image translation.A microscope capable of beam tilt with simultaneous image shift to eliminate tilt-induced translation has been investigated for 3D imaging of thick (1 μm) biologic specimens. By tilting the beam above and through the specimen and bringing it back below the specimen, a brightfield image with a projection angle corresponding to the beam tilt angle can be recorded (Fig. 1a).

DENOISING OF THREE-DIMENSIONAL DATA CUBE USING BIVARIATE WAVELET SHRINKING

2011 ◽  
Vol 25 (03) ◽  
pp. 403-413 ◽  
Author(s):  
GUANGYI CHEN ◽  
TIEN D. BUI ◽  
ADAM KRZYZAK
Keyword(s):  
Spectral Band ◽  
Gaussian White Noise ◽  
Three Dimensional ◽  
Classical Problem ◽  
Data Cube ◽  
Wavelet Thresholding ◽  
3D Data ◽  
Signal Image ◽  
3D Data Cube ◽  
Better Than

The denoising of a natural signal/image corrupted by Gaussian white noise is a classical problem in signal/image processing. However, it is still in its infancy to denoise high dimensional data. In this paper, we extended Sendur and Selesnick's bivariate wavelet thresholding from two-dimensional (2D) image denoising to three-dimensional (3D) data cube denoising. Our study shows that bivariate wavelet thresholding is still valid for 3D data cubes. Experimental results show that bivariate wavelet thresholding on 3D data cube is better than performing 2D bivariate wavelet thresholding on every spectral band separately, VisuShrink, and Chen and Zhu's 3-scale denoising.

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