scholarly journals Three dimensional geologic modeling using logical model of geologic structure: Data processing and visualization

2013 ◽  
Vol 119 (8) ◽  
pp. 527-536 ◽  
Author(s):  
Tatsuya Nemoto ◽  
Shinji Masumoto ◽  
Kiyoji Shiono ◽  
Susumu Nonogaki
Keyword(s):  
Data Processing ◽  
Structure Data ◽  
Three Dimensional ◽  
Geologic Structure ◽  
Logical Model

Basic theory of three-dimensional landslide modeling based on the logical model of geologic structure

Landslides ◽  
2005 ◽  
Vol 2 (3) ◽  
pp. 212-220 ◽  
Author(s):  
A. Kajiyama ◽  
K. Shiono ◽  
S. Masumoto ◽  
T. Fujita
Keyword(s):  
Three Dimensional ◽  
Basic Theory ◽  
Geologic Structure ◽  
Logical Model ◽  
Landslide Modeling

scholarly journals Interpretation of Binary Tree for Logical Model of Geologic Structure

2009 ◽  
Vol 20 (3) ◽  
pp. 151-167 ◽  
Author(s):  
Kiyoji SHIONO ◽  
Hiroyuki YAMANE
Keyword(s):  
Binary Tree ◽  
Geologic Structure ◽  
Logical Model

scholarly journals Basic elements of three dimensional geologic model and logical model of geologic structures

2013 ◽  
Vol 119 (8) ◽  
pp. 519-526 ◽  
Author(s):  
Shinji Masumoto ◽  
Kiyoji Shiono ◽  
Tatsuya Nemoto ◽  
Susumu Nonogaki
Keyword(s):  
Three Dimensional ◽  
Logical Model ◽  
Geologic Model

scholarly journals RECONSTRUCTION OF INDOOR MODELS USING POINT CLOUDS GENERATED FROM SINGLE-LENS REFLEX CAMERAS AND DEPTH IMAGES

2015 ◽  
Vol XL-4/W5 ◽  
pp. 99-102
Author(s):  
F. Tsai ◽  
T.-S. Wu ◽  
I.-C. Lee ◽  
H. Chang ◽  
A. Y. S. Su
Keyword(s):  
Data Processing ◽  
Data Acquisition ◽  
Three Dimensional ◽  
Point Clouds ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Indoor Environments ◽  
Single Lens ◽  
Processing Procedure ◽  
Data Processing Procedure

This paper presents a data acquisition system consisting of multiple RGB-D sensors and digital single-lens reflex (DSLR) cameras. A systematic data processing procedure for integrating these two kinds of devices to generate three-dimensional point clouds of indoor environments is also developed and described. In the developed system, DSLR cameras are used to bridge the Kinects and provide a more accurate ray intersection condition, which takes advantage of the higher resolution and image quality of the DSLR cameras. Structure from Motion (SFM) reconstruction is used to link and merge multiple Kinect point clouds and dense point clouds (from DSLR color images) to generate initial integrated point clouds. Then, bundle adjustment is used to resolve the exterior orientation (EO) of all images. Those exterior orientations are used as the initial values to combine these point clouds at each frame into the same coordinate system using Helmert (seven-parameter) transformation. Experimental results demonstrate that the design of the data acquisition system and the data processing procedure can generate dense and fully colored point clouds of indoor environments successfully even in featureless areas. The accuracy of the generated point clouds were evaluated by comparing the widths and heights of identified objects as well as coordinates of pre-set independent check points against in situ measurements. Based on the generated point clouds, complete and accurate three-dimensional models of indoor environments can be constructed effectively.

scholarly journals Serial Electron Diffraction Data Processing With diffractem and CrystFEL

2021 ◽  
Vol 8 ◽  
Author(s):  
Robert Bücker ◽  
Pascal Hogan-Lamarre ◽  
R. J. Dwayne Miller
Keyword(s):  
Electron Diffraction ◽  
Data Processing ◽  
Three Dimensional ◽  
Electron Diffraction Data ◽  
New Techniques ◽  
X Ray ◽  
X Ray Crystallography ◽  
Level Of Automation ◽  
Rotation Method ◽  
High Level

Serial electron diffraction (SerialED) is an emerging technique, which applies the snapshot data-collection mode of serial X-ray crystallography to three-dimensional electron diffraction (3D Electron Diffraction), forgoing the conventional rotation method. Similarly to serial X-ray crystallography, this approach leads to almost complete absence of radiation damage effects even for the most sensitive samples, and allows for a high level of automation. However, SerialED also necessitates new techniques of data processing, which combine existing pipelines for rotation electron diffraction and serial X-ray crystallography with some more particular solutions for challenges arising in SerialED specifically. Here, we introduce our analysis pipeline for SerialED data, and its implementation using the CrystFEL and diffractem program packages. Detailed examples are provided in extensive supplementary code.

Holographic Three-dimensional Display with Data Processing

2006 ◽  
Author(s):  
Osamu Matoba ◽  
Kousuke Hosoi ◽  
Kouichi Nitta ◽  
Takeaki Yoshimura
Keyword(s):  
Data Processing ◽  
Three Dimensional ◽  
Three Dimensional Display

scholarly journals ACCURACY ASSESSMENT IN STRUCTURE FROM MOTION 3D RECONSTRUCTION FROM UAV-BORN IMAGES: THE INFLUENCE OF THE DATA PROCESSING METHODS

2015 ◽  
Vol XL-1/W4 ◽  
pp. 103-109 ◽  
Author(s):  
G. Caroti ◽  
I. Martínez-Espejo Zaragoza ◽  
A. Piemonte
Keyword(s):  
Data Processing ◽  
Structure From Motion ◽  
Laser Scanning ◽  
Accuracy Assessment ◽  
Three Dimensional ◽  
Evolution Of Structure ◽  
Textured Models ◽  
The Church ◽  
Data Processing Methods

The evolution of Structure from Motion (SfM) techniques and their integration with the established procedures of classic stereoscopic photogrammetric survey have provided a very effective tool for the production of three-dimensional textured models. Such models are not only aesthetically pleasing but can also contain metric information, the quality of which depends on both survey type and applied processing methodologies. An open research topic in this area refers to checking attainable accuracy levels. The knowledge of such accuracy is essential, especially in the integration of models obtained through SfM with other models derived from different sensors or methods (laser scanning, classic photogrammetry ...). Accuracy checks may be conducted by either comparing SfM models against a reference one or measuring the deviation of control points identified on models and measured with classic topographic instrumentation and methodologies. This paper presents an analysis of attainable accuracy levels, according to different approaches of survey and data processing. For this purpose, a survey of the Church of San Miniato in Marcianella (Pisa, Italy), has been used. The dataset is an integration of laser scanning with terrestrial and UAV-borne photogrammetric surveys; in addition, a high precision topographic network was established for the specific purpose. In particular, laser scanning has been used for the interior and the exterior of the church, with the exclusion of the roof, while UAVs have been used for the photogrammetric survey of both roof, with horizontal strips, and façade, with vertical strips.

On: “Seismic contouring: A unique skill” by P. M. Tucker (GEOPHYSICS, 53, 741–749, June 1988).

Geophysics ◽  
1989 ◽  
Vol 54 (2) ◽  
pp. 267-270
Author(s):  
Donald S. Stone
Keyword(s):  
Seismic Data ◽  
Three Dimensional ◽  
Geologic Structure ◽  
High Expectations ◽  
Structural Interpretation

As a happy owner of the popular SEG monographs by Tucker and Yorston (1973) and Tucker (1982), the appearance of Tucker (1988) as the leadoff article in the June, 1988 issue of Geophysics caught my attention, and I began reading with high expectations. Admitting that the paper was chiefly about the philosophy and mechanics of contouring seismic data, I nevertheless found it disappointing, primarily because in describing his unique seismic contouring skill, Tucker never mentions migration or its importance in the conversion of raw seismic times to three‐dimensional (3-D) geologic structure. Also, many of the statements in his paper can be challenged on the grounds of imprecision or omission in terms of real structural interpretation.

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